Stata è un software statistico completo le cui potenzialità sono in grado di soddisfare un’ampia gamma di utenti accademici e professionali, in discipline quali economia, sociologia, psicologia, biostatistica, epidemiologia e altre. Stata include una vasta gamma di funzioni statistiche (vedi la sezione principali caratteristiche) e piene capacità di data management. E’ facile da usare per utenti alle prime armi, ma allo stesso tempo offre opzioni di programmazione sofisticate per gli utenti più esperti. Nuove potenzialità sviluppate e aggiornamenti ufficiali possono essere installati semplicemente tramite internet.
Stata è disponibile in tre diverse edizioni:
- Stata/BE è ideale per le banche dati di dimensione media
- Stata/SE permette di lavorare con banche dati molto più ampie rispetto a Stata/BE mentre
- Stata/MP è l’edizione più veloce, in grado di sfruttare le potenzialità di PC multiprocessori, inclusi Intel i3, i5, i7, i9 e AMD multi-core, Xeon, e Celeron. Consente per esempio di analizzare i dati a una velocità nettamente superiore: si risparmiano tra un terzo e la metà del tempo rispetto a Stata/SE su laptop dual-core economici e tra la metà e tre quarti del tempo su desktop e portatili con quattro core. Stata/MP è ancora più veloce su server multiprocessore; supporta processori fino a 64 core. Una velocità elevata è spesso cruciale quando si eseguono procedure di stima intensamente computazionali. Alcune delle procedure di stima di Stata, inclusa la regressione lineare, sono quasi perfettamente parallelizzate, il che significa che funzionano due volte più velocemente su una macchina con due core, quattro volte più velocemente su quattro core, otto volte più veloce su otto core e così via. E’ importante notare che alcuni comandi di stima possono essere parallelizzati più di altri. Considerandone la mediana, i comandi di stima sono 1,8 volte più veloci sulle macchine 2 core, 2,9 volte più veloci su 4 core e 4,1 volte più veloci sulle macchine con 8 core. La velocità può essere importante anche nella gestione dei dati di grandi dimensioni. L’aggiunta di nuove variabili per esempio è quasi parallela al 100%, mentre il comando di ordinamento dei dati è parallelo al 61%.
Consultare il rapporto Stata/MP per ulteriori informazioni sulle capacità e velocità dell’edizione Stata/MP.
Le edizioni di Stata (Stata/BE, Stata/SE e Stata/MP) si distinguono fra di loro secondo le caratteristiche indicate nella seguente tabella:
| Stata/MP | Stata/SE | Stata/BE | |
| Numero Massimo Variabili | 120,000 | 32,767 | 2,048 |
| Numero Massimo Variabili Indipendenti | 65,532 | 10,998 | 798 |
| Numero Massimo Osservazioni | fino a 20 Miliardi | fino a 2,14 Miliardi | fino a 2,14 Miliardi |
| Caratteri per Variabile Stringa | Fino a 244 | Fino a 244 | Fino a 244 |
| Documentazione completa in formato PDF | Inclusa | Inclusa | Inclusa |
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ACCESSIBILITY Section 508 compliance, accessibility for persons with disabilities, … more
ANOVA/MANOVA Balanced and unbalanced designs, factorial, nested, and mixed designs, repeated measures, marginal means, contrasts, … more
BASIC STATISTICS Summaries, cross-tabulations, correlations, z and t tests, equality-of-variance tests, tests of proportions, confidence intervals, factor variables, … more
BAYESIAN ANALYSIS Thousands of built-in models, univariate and multivariate models, linear and nonlinear models, multilevel models, continuous, binary, ordinal, and count outcomes, bayes: prefix for 45 estimation commands, continuous univariate, multivariate, and discrete priors, add your own models, convergence diagnostics, posterior summaries, hypothesis testing, model comparison, … more
BINARY, COUNT, AND LIMITED OUTCOMES Logistic, probit, tobit, Poisson and negative binomial, conditional, multinomial, nested, ordered, rank-ordered, and stereotype logistic, multinomial probit, zero-inflated and left-truncated count models, selection models, marginal effects, … more
CLUSTER ANALYSIS Hierarchical clustering, kmeans and kmedian nonhierarchical clustering, dendrograms, stopping rules, user-extensible analyses, … more
CHOICE MODELS discrete choice, rank-ordered alternatives, conditional logit multinomial probit, mixed logit, panel data, case-specific and alternative-specific predictors, interpret results—expected probabilities, covariate effects, comparisons across alternatives… more
COMMUNITY-CONTRIBUTED COMMANDS Community-contributed commands for meta-analysis, data management, survival, econometrics, … more
CONTRASTS, PAIRWISE COMPARISONS AND MARGINS Compare means, intercepts, or slopes, compare with reference category, adjacent category, grand mean, etc…orthogonal polynomials, multiple-comparison adjustments, graph estimated means and contrasts, interaction plots, … more
DATA MANAGEMENT Data transformations, match-merge, import/export data, ODBC, SQL, Unicode, by-group processing, append files, sort, row–column transposition, labeling, save results, … more
DOCUMENTATION 33 manuals with over 17,000 pages, seamless navigation, thousands of worked examples, quick starts , methods and formulas, references, … more
EMBEDDED STATISTICAL COMPUTATIONS Numerics by Stata, … more
EPIDEMIOLOGY Standardization of rates, case–control, cohort, matched case–control, Mantel–Haenszel, pharmacokinetics, ROC analysis, ICD-10, … more
EXACT STATISTICS Exact logistic and Poisson regression, exact case–control statistics, binomial tests, Fisher’s exact test for r × c tables, … more
EXTENDED REGRESSION MODELS (ERMs) Combine endogenous covariates, sample selection, and nonrandom treatment in models for continuous, interval-censored, binary, and ordinal outcomes, … more
FINITE MIXTURE MODELS (FMMs) Fmm: prefix for 17 estimators, mixtures of a single estimator, mixtures combining multiple estimators or distributions, continuous, binary, count, ordinal, categorical, censored, truncated, and survival outcomes, … more
FUNCTIONS Statistical, random-number, mathematical, string, date and time, … more
GENERALIZED LINEAR MODELS (GLMs) Ten link functions, user-defined links, seven distributions, ML and IRLS estimation, nine variance estimators, seven residuals, … more
GMM AND NONLINEAR REGRESSION Generalized method of moments (GMM), nonlinear regression, … more
GRAPHICS Lines, bars, areas, ranges, contours, confidence intervals, interaction plots, survival plots, publication quality, customize anything, Graph Editor, … more
GRAPHICAL USER INTERFACE Menus and dialogs for all features, Data Editor, Variables Manager, Graph Editor, Project Manager, Do-file Editor, Clipboard Preview Tool, multiple preference sets, … more
INSTALLATION QUALIFICATION IQ report for regulatory agencies such as the FDA, installation verification, … more
INTERNET CAPABILITIES Ability to install new commands, web updating, web file sharing, latest Stata news, … more
IRT (ITEM RESPONSE THEORY) Binary (1PL, 2PL, 3PL), ordinal, and categorical response models, item characteristic curves, test characteristic curves, item information functions, test information functions, differential item functioning (DIF), … more
LASSO lasso, elastic net, Model selection, prediction, inference, continuous, binary, and count outcomes, cross-validation, double selection, partialing out, cross-fit partialing out, double machine learning, endogenous covariates, more
LINEAR MODELS Regression, censored outcomes, endogenous regressors, bootstrap, jackknife, and robust and cluster–robust variance, instrumental variables, three-stage least squares, constraints, quantile regression, GLS, … more
LINEARIZED DSGE MODELS Specify models algebraically, solve models, estimate parameters, identification diagnostics, policy and transition matrices, IRFs, dynamic forecasts, … more
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LATENT CLASS ANALYSIS
Binary, ordinal, continuous, count, categorical, fractional, and survival items, add covariates to model class membership, combine with SEM path models, expected class proportions, goodness of fit, predictions of class membership, … more
PANEL/LONGITUDINAL DATA Random and fixed effects with robust standard errors, linear mixed models, random-effects probit, GEE, random- and fixed-effects Poisson, dynamic panel-data models, instrumental variables, panel unit-root tests, … more
MATA- STATA’S SERIOUS PROGRAMMING LANGUAGE interactive sessions, large-scale development projects, optimization, matrix inversions, decompositions, eigenvalues and eigenvectors, LAPACK engine, Real and complex numbers, string matrices, interface to Stata datasets and matrices, numerical derivatives, object-oriented programming… more
MATRIX PROGRAMMING-MATA Interactive sessions, large-scale development projects, optimization, matrix inversions, decompositions, eigenvalues and eigenvectors, LAPACK engine, real and complex numbers, string matrices, interface to Stata datasets and matrices, numerical derivatives, object-oriented programming, … more
META-ANALYSIS effect sizes, common, fixed, and random effects, forest, funnel, and more plots, subgroup and cumulative analysis, meta-regression, small-study effects, publication bias… more
MULTI-LEVEL MIXED EFFECT MODELS Continuous, binary, count, and survival outcomes, two-, three-, and higher-level models, generalized linear models, nonlinear models, random intercepts, random slopes, crossed random effects, BLUPs of effects and fitted values, hierarchical models, residual error structures, DDF adjustments, support for survey data, … more
MULTIPLE IMPUTATION Nine univariate imputation methods, multivariate normal imputation, chained equations, explore pattern of missingness, manage imputed datasets, fit model and pool results, transform parameters, joint tests of parameter estimates, predictions, … more
MULTIVARIATE METHODS Factor analysis, principal components, discriminant analysis, rotation, multidimensional scaling, Procrustean analysis, correspondence analysis, biplots, dendrograms, user-extensible analyses, … more
NONPARAMETRIC METHODS Nonparametric regression, Wilcoxon–Mann–Whitney, Wilcoxon signed ranks, and Kruskal–Wallis tests, Spearman and Kendall correlations, Kolmogorov–Smirnov tests, exact binomial CIs, survival data, ROC analysis, smoothing, bootstrapping, … more
OTHER STATISTICAL METHODS Kappa measure of interrater agreement, Cronbach’s alpha, stepwise regression, tests of normality, … more
POWER AND SAMPLE SIZE Power, sample size, effect size, minimum detectable effect, means, proportions, variances, correlations, ANOVA, regression, cluster randomized designs, case–control studies, cohort studies, contingency tables, survival analysis, balanced or unbalanced designs, results in tables or graphs, … more
PROGRAMMABLE MAXIMUM LIKELIHOOD User-specified functions, NR, DFP, BFGS, BHHH, OIM, OPG, robust, bootstrap, and jackknife SEs, Wald tests, survey data, numeric or analytic derivatives, … more
PROGRAMMING FEATURES Adding new commands, command scripting, object-oriented programming, menu and dialog-box programming, dynamic documents, Markdown, Project Manager, plugins, … more
REPORTING reproducible reports, Word, Excel, PDF, HTML, dynamic documents, Markdown, Stata results and graphs, SVG, EPS, PNG, TIF , formatted text and tables… more
RESAMPLING AND SIMULATION METHODS Bootstrap, jackknife, Monte Carlo simulation, permutation tests, … more
SEM (STRUCTURAL EQUATION MODELING) Graphical path diagram builder, standardized and unstandardized estimates, modification indices, direct and indirect effects, continuous, binary, count, ordinal, and survival outcomes, multilevel models, random slopes and intercepts, factor scores, empirical Bayes, and other predictions, groups and tests of invariance, goodness of fit, handles MAR data by FIML, correlated data, survey data, … more
SIMPLE MAXIMUM LIKELIHOOD Specify likelihood using simple expressions, no programming required, survey data, standard, robust, bootstrap, and jackknife SEs, matrix estimators, … more
SPATIAL AUTOREGRESSIVE MODELS Spatial lags of dependent variable, independent variables, and autoregressive errors, fixed and random effects in panel data, endogenous covariates, analyze spillover effects, … more
SURVEY METHODS Multistage designs, bootstrap, BRR, jackknife, linearized, and SDR variance estimation, poststratification, DEFF, predictive margins, means, proportions, ratios, totals, summary tables, almost all estimators supported, … more
SURVIVAL ANALYSIS Kaplan–Meier and Nelson–Aalen estimators, Cox regression (frailty), parametric models (frailty, random effects), competing risks, hazards, time-varying covariates, left-, right-, and interval-censoring, Weibull, exponential, and Gompertz models, … more
TESTS, PREDICTIONS, AND EFFECTS Wald tests, LR tests, linear and nonlinear combinations, predictions and generalized predictions, marginal means, least-squares means, adjusted means, marginal and partial effects, forecast models, Hausman tests, … more
TIME SERIES ARIMA, ARFIMA, ARCH/GARCH, VAR, VECM, multivariate GARCH, unobserved-components model, dynamic factors, state-space models, Markov-switching models, business calendars, tests for structural breaks, threshold regression, forecasts, impulse–response functions, unit-root tests, filters and smoothers, rolling and recursive estimation, … more
TREATMENT EFFECTS/CAUSAL INFERENCE Inverse probability weight (IPW), doubly robust methods, propensity-score matching, regression adjustment, covariate matching, multilevel treatments, endogenous treatments, average treatment effects (ATEs), ATEs on the treated (ATETs), potential-outcome means (POMs), continuous, binary, count, fractional, and survival outcomes, … more |
Maggiori informazioni sui nuovi comandi e funzioni introdotti in Stata 17 possono essere ottenuti cliccando sull’argomento di interesse nella tabella sottostante.
| Table Bayesian Econometrics Interval-censored cox model Difference in differences (did) Bayesian var Multivariate meta-analysis Treatment-effects lasso Panel-data multinomial logit Zero-inflated ordered logit Bayesian irf and fevd analysis Bayesian dynamic forecasting Do-file editor enhancements Data Management ReportingGeneral StatisticsBayesian AnalysisProgramming |
Intel math kernel library (mkl) Stata on apple silicon Jdbc Pystata Jupyter notebook with Stata Faster Stata Bayesian multilevel modeling New functions for dates and times Leave-one-out meta-analysis Galbraith plots Bayesian panel-data models Nonparametric tests for trend Lasso with clustered data Bic for lasso penalty selection Bayesian linear and nonlinear dsges H2o Integration Java Integration Interface Customizable Tables Treatment EffectsSurvival Analysis |
| TABLE
Table types: One-way Two-way Multiway Summary statistics Regression comparisons Estimation and postestimation results Custom
Easily create “table one” tables Flexible new version of table command New system for collecting results from multiple commands and producing tables of results Export tables to: Word®, Excel® HTML LaTeX and more
BAYESIAN ECONOMETRICS
Estimation Built-in models with over 60 likelihoods and over 30 priors Custom likelihoods and priors Univariate, multivariate, and multiple-equation models Linear, generalized linear, and nonlinear models Flexible control of MCMC sampling Multiple chains
Postestimation Convergence diagnostics Posterior means, medians, and standard deviations Equal-tailed and HPD credible intervals Interval hypothesis testing Model comparison using DIC and Bayes factors Predictions
INTERVAL-CENSORED COX MODEL
Genuine semiparametric modeling Left-censoring, right-censoring, interval-censoring Current-status and general interval-censored data Stratified estimation Two estimators for baseline hazard Two estimators for standard errors Graphs of survivor, cumulative hazard, and hazard functions Residual diagnostics Graphical checks of proportional-hazards assumption
DIFFERENCE IN DIFFERENCES (DID)
DID and DDD ATET estimators for repeated cross-sections and panel data Wild-bootstrap p-values and confidence intervals Bias-corrected standard errors using the Bell and McCaffrey degrees-of-freedom adjustment ATET estimates and standard errors using the Donald and Lang method Mean-outcome and parallel-trends graphical diagnostics Granger-type and parallel-trends tests
BAYESIAN VAR
Estimation Default or custom lags Exogenous variables Minnesota prior distributions Flexible control of MCMC sampling Multiple chains Postestimation MCMC diagnostics Checks for parameter stability Bayesian dynamic forecasts Bayesian IRF and FEVD analysis One-step-ahead Bayesian predictions Full Bayesian postestimation features support
MULTIVARIATE META-ANALYSIS
Multivariate meta-analysis Fixed effects Random effects Four estimation methods Adjust for moderators Sensitivity analysis Between-study covariance structures Jackson–Riley standard-error adjustments Multivariate Q statistic and test Heterogeneity Cochran’s multivariate statistics Jackson–White–Riley multivariate statistics White’s multivariate statistics Postestimation Predict random effects Variance–covariance matrix of random effects Residuals Standardized residuals
TREATMENT-EFFECTS LASSO
Estimate treatment effects with high-dimensional controls High-dimensional controls in the outcome model High-dimensional controls in the treatment model Flexible model specification Outcome model can be linear, logit, probit, or poisson Treatment assignment model can be logit or probit Different measures of treatment effects ATE: average treatment effects ATET: average treatment effect on the treated POM: potential-outcome mean Robust estimation Double robustness: only one of the models needs to be correctly specified Neyman orthogonality: guard against model-selection mistakes made by lasso Double machine learning Cross-fitting and resampling
PANEL-DATA MULTINOMIAL
Panel-data modeling of unordered categorical outcomes Random-effects estimator Choice of covariance structure for random effects Independent Identity Shared Exchangeable Unstructured Conditional fixed-effects (FE) estimator Permutation subsets lessen curse of dimensionality Bayesian estimation Robust, cluster–robust, and bootstrap standard errors Support for complex survey data
ZERO-INFLATED ORDERED LOGIT
Model ordinal data with an overabundance of responses in the lowest category Use a logit model to identify zero inflation and an ordered logit model for the ordinal response Use a potentially different set of predictors for the logit and ordered logit model Easily interpret findings using odds ratios and marginal probabilities Support for Bayesian estimation Robust, cluster–robust, and bootstrap standard errors Complex survey designs support
BAYESIAN IRF AND FEVD ANALYSIS
Impulse–response functions Dynamic multipliers Forecast-error variance decompositions Graph and tabulate functions, and save them to current data Specify forecast horizon Posterior means or medians of functions Posterior standard deviations Posterior credible intervals Create and combine multiple IRF results
BAYESIAN DYNAMIC FORECASTING
Graph dynamic forecasts Save dynamic forecasts in current dataset Specify prediction horizon Compute posterior means or medians of forecasts Compute posterior standard deviations Compute posterior credible intervals
DO-FILE EDITOR ENHANCEMENTS
Create and edit Do-files Ado-files Mata code Python code Markdown files Stata help files Java code XML files Improved bookmarks Created using GUI or entering comments Can now be labeled Now saved with do-file Navigation Control displays bookmarks and programs Syntax highlighting Stata ado Python Markdown Java XML
DATA MANAGEMENT
When you are using jdbc to load, write, or view data from a database with a Java API and your JDBC driver needs multiple JAR files to work, you can use the new jarpath() option to specify the directory where the driver JAR file is stored along with driver dependencies.
When you use egen functions iqr(), median(), and pctile(), you can now specify the autotype option to automatically create the smallest type of variable (byte, int, long, or double) possible to hold the results.
REPORTING
Publications often require headers and footers that alternate on odd and even pages. putdocx begin and putdocx sectionbreak now make it easy to create Word documents with content in the headers and footers that varies across pages.
When you need to append multiple documents using putdocx append or putdocx save, you can now specify which of the appended documents’ styles should be used in the final document.
GENERAL STATISTICS
The churdle command for fitting hurdle models now has improved numerical precision for linear models. In some cases, models that did not converge previously or for which initial values were not feasible can now be fit.
BAYESIAN ANALYSIS
The bayesmh command has a number of enhancements:
The new prior mvnscaled() provides a multivariate normal prior with a scaled covariance matrix. The new distribution can be used to specify a conjugate prior for the regression coefficients of a linear regression model.
PROGRAMMING
In the PyStata module, you can now include the splash argument in the init() function. splash was added to control whether to display the splash message when Stata is initialized.
If you are using Mata solvers and inverters, you can now use the mata set matasolvetol command to set the scalar factor in the computation of tolerances. |
INTEL MATH KERNEL LIBRARY (MKL)
Greatly improved performance for Mata functions and operators using LAPACK routinesUp-to-date algorithm updates and improvements of LAPACK routines
STATA ON APPLE SILICON
Native M1 processor support Universal application for both Intel and Apple Silicon MacsOne license, both kinds of hardware JDBC
Access data from many databases, including Oracle, MySQL, Amazon Redshift, Snowflake, Microsoft SQL Server, and more Completely cross-platform compatible Load an entire database table into Stata or use a SQL SELECT to just load specific columns from a table into Stata Insert all your variables into a database table, or insert just a subset of your data Execute SQL statements from Stata Store connection settings as a data source name (DSN) PYSTATA
Use Stata from within Python Stata API functions to run Stata commands and access Stata data and returned results from Python IPython magic command to use Stata from Jupyter Notebook
JUPYTER NOTEBOOK WITH STATA
Invoke Stata from Python Call Stata using stata, mata, and pystata magic commands Call Stata using a suite of API functions Use the magic commands and API functions together with the Stata Function Interface (sfi) module Use Python and Stata together Access Stata and Mata from Jupyter Notebook, Jupyter Lab, and other environments that support the IPython kernel Push Stata data and results to Python and vice versa Combine the capabilities of Stata and Python in a single environment
FASTER STATA
sort is much faster collapse is much much faster MKL-powered Mata functions and operators are faster Mixed models are faster import delimited is now parallelized in Stata/MP
BAYESIAN MULTILEVEL MODELING
Outcomes: continuous, binary, ordinal, count, survival, … Convenient random-effects specification Random intercepts and coefficientsNested and crossed effects Latent factors Multiple levels of hierarchy Linear and nonlinear models Univariate and multivariate models Joint, multivariate growth, and SEM-like models Multivariate nonlinear random-effects models Flexible random-effects prior distributions Posterior distributions of random effects MCMC diagnostics, including multiple chains Full Bayesian postestimation features support NEW FUNCTIONS FOR DATES AND TIMES
Functions that calculate durations, such as ages and other differences between datetimes
Functions that calculate relative dates, or dates from other dates, such as the previous or next birthday or anniversary relative to a given date
Functions that extract the different components from datetime values and variables
LEAVE-ONE-OUT META ANALYSIS
Leave-one-out overall effect size Leave-one-out forest plot Assess impact of studies
GALBRAITH PLOTS
Summarize meta-analysis results Assess heterogeneity Detect potential outliers
BAYESIAN PANEL-DATA MODELS
Outcomes: continuous, binary, ordinal, categorical, count Random effects Flexible prior distributions Posterior distributions of panel or group effects Bayesian predictions Full Bayesian-features support
NONPARAMETRIC TESTS FOR TREND
nptrend performs four nonparametric tests for trend Cochran–Armitage test Jonckheere–Terpstra test linear-by-linear test Cuzick’s test with ranks option for exact p-values LASSO WITH CLUSTERED DATA
Lasso predictions with clustered data for Lasso Elastic net Square-root lasso Lasso inference with clustered data for Partialing-out lasso models Cross-fit partialing-out lasso models Double-selection lasso models Cluster–robust standard errors for Partialing-out lasso models Cross-fit partialing-out lasso models Double-selection lasso models Treatment-effects lasso models BIC FOR LASSO PENALTY SELECTION
BIC penalty parameter selection with lasso for prediction Lasso Square-root lasso Elastic net BIC penalty parameter selection with lasso for inference Partialing-out estimators Cross-fit partialing-out estimators Double-selection estimators BIC penalty parameter with treatment-effect estimation with lasso Plot the BIC function BAYESIAN LINEAR AND NONLINEAR DSGES
Bayesian dynamic stochastic general equilibrium models Linear and nonlinear models Default and custom priors Flexible control of MCMC sampling Bayesian summary statistics MCMC diagnostics Multiple chains Impulse–response functions Graphs and tables of IRFs Save and compare models Full Bayesian postestimation features support H2O INTEGRATION
Start a new H2O cluster, or connect to an existing H2O cluster from Stata Manipulate data (H2O frames) on the H2O cluster from Stata Create new H2O frames Import or upload data files to new H2O frames Put Stata’s current dataset into a new H2O frame, or load H2O frames into Stata Split, combine, and query H2O frames Access the capabilites of H2O using various utility commands directly from Stata JAVA INTEGRATION
Java Integration with Stata Use Java interactively (like JShell) from within Stata Embed Java code in do-files Embed Java code in ado-files Compile Java code on the fly without external programs Stata Function Interface (sfi) Java package Bidirectional connection between Stata and Java Access Stata datasets, frames, macros, scalars, matrices, value labels, characteristics, global Mata matrices, date and time values, and more from Java
INTERFACE
The Do-file Editor has many new enhancements.
You can now increase the level of indentation for a bookmark’s label in the Navigation Control by adding the character # to the bookmark comment. For example, bookmark comment **## Bookmark 2 will be indented one level more than bookmark comment **# Bookmark 1.
Java and Python code blocks are now added to the Navigation Control.
You can now execute only the current line that the cursor is on by clicking Tools > Execute (do) line. The cursor will then automatically advance to the next executable line, bypassing empty lines and comments.
CUSTOMIZABLE TABLES
The new etable command creates a table of estimation results from one or more estimation commands. This table can be customized in many ways—statistics to be reported, numeric and string formats, stars for significance, notes, title, labels, and more. The table can be exported directly to Microsoft Word, HTML, PDF, Microsoft Excel, LaTeX, Markdown, SMCL, or plain text. In most cases, etable is used alone to create, customize, and export a table in one step. However, because etable creates a collection, the table can be further customized using the collect suite of commands.
The table command is now more powerful and convenient.
Variables defining the rows, columns, and separate tables can now be string variables. Previously, only numeric variables were allowed in this context.
table now displays results using the formats of numeric variables that used to define the rows, columns, and separate tables and using the formats of factor variables specified in the statistic() option.
TREATMENT EFFECTS
The new estat grangerplot command can now be used after didregress and xtdidregress to graphically assess whether treatment effects vary over time.
SURVIVAL ANALYSIS
If you are using Stata/MP and fitting a Cox proportional hazards model for interval-censored survival-time data with 200 or more observations, estimation is now faster. |
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(b) Concurrent Authorized-User License Grant.
(i) Network License Grant – Licensed Software. This Section 2.2(b) (i) applies only to a Customer whose License and Activation Key issued by StataCorp specifies the “License Type” as “Network”. Subject to the terms and conditions of this Agreement, StataCorp grants to Customer a non-assignable, nontransferable license, without the right to sublicense, to use the Licensed Software, in object-code form only, within a single local geographic location or physical site solely for Customer’s internal business, research, or educational purposes. Customer is authorized by StataCorp to install the Licensed Software on an unlimited number of machines as long as Customer has a site license agreement with StataCorp authorizing this, or as long as the specific number of Concurrent Authorized Users for which Customer has paid the applicable License Fee is not exceeded.
(ii) Compute-Server License Grant – Licensed Software. This Section 2.2(b) (ii) applies only to a Customer whose License and Activation Key issued by StataCorp specifies the “License Type” as “Compute Server”. Subject to the terms and conditions of this Agreement, StataCorp grants to Customer a non-assignable, nontransferable license, without the right to sublicense, to use and execute the Licensed Software, in object-code form only, installed on a single compute server solely for Customer’s internal business, research, or educational purposes. Customer is authorized by StataCorp to install the Licensed Software on only one compute server or one node of a cluster solely for the use of the specific number of Concurrent Authorized Users for which Customer has paid the applicable License Fee.
(iii) Student Lab License Grant – Licensed Software. This Section 2.2(b) (iii) applies only to a Customer whose License and Activation Key issued by StataCorp specifies the “License Type” as “Student Lab”. Subject to the terms and conditions of this Agreement, StataCorp grants to Customer a non-assignable, nontransferable license, without the right to sublicense, to use the Licensed Software, in object-code form only, solely in an educational student lab environment (including virtual lab environments) for teaching purposes (but not for research purposes) within a degree-granting institution. Customer is authorized to install the Licensed Software on an unlimited number of machines as long as the specific number of Concurrent Authorized Users for which Customer has paid the applicable License Fee is not exceeded.
(iv) Customer Obligations. This Section 2.2(b) (iv) applies to a Customer whose License and Activation Key issued by StataCorp specifies the “License Type” as “Network”, “Compute Server”, or “Student Lab”. Customer is responsible for managing the usage of the Licensed Software to ensure that such usage does not exceed the specific number of Concurrent Authorized Users for which Customer has paid the applicable License Fee. Customer may add additional Concurrent Authorized Users to Customer’s account for the Licensed Software by placing an order with StataCorp or an Authorized Reseller.
2.3 Documentation License. Subject to the terms and conditions of this Agreement, StataCorp grants to Customer a non-assignable, nontransferable license, without the right to sublicense, to use the Documentation in connection with Customer’s authorized use of the Licensed Software. Customer may not reproduce or distribute the Documentation in any manner, whether physically or electronically, without the express written permission of StataCorp. Entity Customer may make the Documentation available on any website or private network administered by the Entity Customer.
2.4 Activation Key. StataCorp shall issue to Customer a License and Activation Key for each copy of the Licensed Software. Customer is entirely responsible for any and all activities that occur under Customer’s account and all charges incurred from use of the copy of the Licensed Software assigned by Serial Number to Customer (e.g., maintenance, support, or license or subscription fee charges). The Licensed Software shall be deemed accepted upon the delivery of the Activation Key to Customer by StataCorp or an Authorized Reseller.
2.5 License to StataCorp Enhancements. Subject to the terms and conditions of this Agreement, StataCorp grants to Customer a non-assignable, nontransferable, royalty-free license, without the right to sublicense, to use the StataCorp Enhancements solely with the Software for Customer’s internal business, research, or educational purposes. In addition, subject to the terms and conditions of this Agreement, StataCorp grants to Customer a non-assignable, nontransferable, royalty-free license to modify, reproduce, and distribute the StataCorp Enhancements to create Customer Enhancements solely for use with the Software. Customer may distribute the Customer Enhancements to third parties either at no charge or for a fee. THE STATACORP ENHANCEMENTS ARE PROVIDED TO CUSTOMER ON AN ‘AS IS’ AND ‘WHERE IS’ BASIS AND WITHOUT WARRANTY OF ANY TYPE OR KIND. STATACORP AND ITS THIRD-PARTY LICENSORS HEREBY EXPRESSLY DISCLAIM AND EXCLUDE ALL WARRANTIES AND CONDITIONS, WHETHER STATUTORY, EXPRESS, IMPLIED, OR OTHERWISE, WITH RESPECT TO THE STATACORP ENHANCEMENTS, INCLUDING, BUT NOT LIMITED TO, ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT OF THIRD-PARTY RIGHTS.
2.6 License to Customer Enhancements. If Customer submits Customer Enhancements to StataCorp or makes Customer Enhancements generally available for modification, use, or distribution without charge by third parties, Customer grants to StataCorp a perpetual, irrevocable, transferable, royalty-free license to modify, reproduce, and distribute the Customer Enhancements, with the right to sublicense through multiple tiers of distribution. THE CUSTOMER ENHANCEMENTS ARE PROVIDED TO STATACORP ON AN ‘AS IS’ AND ‘WHERE IS’ BASIS AND WITHOUT WARRANTY OF ANY TYPE OR KIND. CUSTOMER HEREBY EXPRESSLY DISCLAIMS AND EXCLUDES ALL WARRANTIES AND CONDITIONS, WHETHER STATUTORY, EXPRESS, IMPLIED OR OTHERWISE, WITH RESPECT TO THE CUSTOMER ENHANCEMENTS, INCLUDING, BUT NOT LIMITED TO, ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT OF THIRD-PARTY RIGHTS.
2.7 Restrictions. Customer shall not, nor permit any person (including any Authorized User) to: (i) reverse engineer, reverse compile, decrypt, disassemble, or otherwise attempt to derive the source code of the Licensed Software (except to the extent that this restriction is expressly prohibited by law); (ii) modify, translate, or create derivative works of the Licensed Software; (iii) sublicense, resell, rent, lease, distribute, market, commercialize, or otherwise transfer rights or usage to the Licensed Software (except as expressly permitted under this Agreement); (iv) remove, modify, or obscure any copyright notices or other proprietary notices or legends appearing on or in the Licensed Software, or any portion thereof; (v) transfer, use, or export the Licensed Software in violation of any applicable laws, rules, or regulations of any government or governmental agency; (vi) use the Licensed Software or any system services accessed through the Licensed Software to disrupt, disable, or otherwise harm the operations, software, hardware, equipment, and/or systems of a business, institution, or other entity, including, without limitation, exposing the business, institution, or other entity to any computer virus, trojan horse, or other harmful, disruptive, or unauthorized component; or (vii) embed the Licensed Software in any third-party applications, unless otherwise authorized in writing in advance by an officer of StataCorp.
2.8 Ownership. The Licensed Software, StataCorp Enhancements, and Documentation contain copyrighted material and other proprietary material and information of StataCorp and/or its licensors. StataCorp and/or its licensors shall retain all right, title, and interest, including all intellectual property rights, in and to the Licensed Software, StataCorp Enhancements, and Documentation. Customer will not remove, alter, or destroy any form of copyright notice, proprietary markings, or confidential legends placed upon or contained within the Licensed Software, StataCorp Enhancements, or Documentation, or any component thereof.
TECHNICAL SUPPORT AND UPGRADES AND UPDATES.
3.1 Technical Support. StataCorp agrees to provide Customer with technical support services which include periodic distribution of bug fixes and minor enhancements as Updates scheduled by StataCorp. All registered users of the then-current release of Stata are eligible for free limited technical support. Installation support inquiries by telephone will be accepted by StataCorp during normal business hours. Technical support email inquiries are accepted at any time and will be answered during normal StataCorp business hours. StataCorp will attempt to respond to inquiries within the same business day.
3.2 Updates and Upgrades. To receive and use an Upgrade, Customer must pay the applicable fees for that Upgrade and agree to StataCorp’s standard terms and conditions governing the use of that Upgrade. If no such standard terms and conditions are stated by StataCorp, the terms of this Agreement shall apply and the Upgrade shall be deemed Licensed Software. StataCorp will issue a new Activation Key for the Upgrade. For a Single-User license, once StataCorp issues the new Activation Key for an Upgrade version, Customer shall be able to continue to use the prior version of the Licensed Software until any License Period has expired. For Network, Compute Server, and Student Lab licenses, once StataCorp issues the new Activation Key for an Upgrade, Customer shall be able to continue to use the prior version of the Licensed Software on the condition that the total, combined number of Concurrent Authorized Users who are using the Licensed Software (either the prior version, Upgrade, or both) does not exceed the specific number of Concurrent Authorized Users for which Customer has paid the applicable fee and until any License Period has expired. For a Single-User license, technical support services are provided only for the Customer of the then-current version of the Licensed Software. For any other type of license selected by Customer (i.e., Network, Compute Server, or Student Lab), technical support services are provided only for the Authorized Users of the then-current version of the Licensed Software.
LIMITED WARRANTY; WARRANTY DISCLAIMER.
4.1 Limited Media Warranty. For thirty (30) days from the date of purchase, StataCorp warrants that the media on which the Licensed Software, StataCorp Enhancements, and Documentation is furnished shall be free from defects in material and faulty workmanship. Customer may return for replacement, without charge, any media that fails to meet this limited media warranty to StataCorp or the dealer from whom the Licensed Software (and StataCorp Enhancements) was purchased, as applicable, within the 30-day period. StataCorp or the applicable dealer will not be responsible for replacing any media that contains defects due to Customer’s misuse. THE FOREGOING IS CUSTOMER’S SOLE REMEDY, AND STATACORP’S SOLE OBLIGATION, WITH RESPECT TO A BREACH OF THE LIMITED MEDIA WARRANTY.
4.2 Performance Warranty. StataCorp represents and warrants for a period of 90 days from the date of the order that the Licensed Software substantially conforms to the functional specifications in the Stata Reference Manual. StataCorp will repair or replace the Licensed Software if this warranty is breached unless it cannot do so within a reasonable period of time, then StataCorp will refund the fee paid for that license under the order (this Agreement will then terminate). Customer must notify StataCorp during the warranty period or 30 days after it ends of any alleged breach of the warranty. THIS SECTION CONTAINS CUSTOMER’S EXCLUSIVE REMEDY AND STATACORP’S SOLE LIABILITY FOR BREACH OF THIS WARRANTY.
4.3 No Disabling Code. With respect to the Licensed Software (including any Updates or Upgrades) and as of the date of delivery, StataCorp represents and warrants that (i) it has used commercially reasonable efforts consistent with industry standards to scan for and remove any software viruses, and (ii) it has not inserted any Disabling Code. “Disabling Code” means computer code inserted by StataCorp that is not addressed in the Documentation and that is designed to delete, interfere with, or disable the normal operation of the Products. This Disabling Code warranty does not apply to StataCorp passwords necessary for the operation of the Licensed Software, to the Licensed Software’s Activation Key requirement, or for any use by Customer outside the scope of the license.
4.4 No Warranty. EXCEPT FOR THE WARRANTIES ABOVE, THE LICENSED SOFTWARE, DOCUMENTATION, AND SUPPORT SERVICES ARE PROVIDED TO CUSTOMER ON AN ‘AS IS’ AND ‘WHERE IS’ BASIS AND WITHOUT WARRANTY OF ANY TYPE OR KIND. STATACORP HEREBY EXPRESSLY DISCLAIMS AND EXCLUDES ON BEHALF OF ITSELF AND ITS LICENSORS ALL WARRANTIES AND CONDITIONS, WHETHER STATUTORY, EXPRESS, IMPLIED, OR OTHERWISE, WITH RESPECT TO THE LICENSED SOFTWARE AND SUPPORT SERVICES, INCLUDING, BUT NOT LIMITED TO, ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT OF THIRD PARTY RIGHTS.
TERM AND TERMINATION.
5.1 Term. If License Period is not for a fixed term, this Agreement shall commence on the Effective Date and shall continue in effect until terminated as set forth below. If the License Period is for a fixed term, this Agreement will commence on the Effective Date and shall continue until the earlier to occur of the expiration of the License Period or the termination of this Agreement as set forth below. In the case of additional Concurrent Authorized Users who are authorized and added after the initial License Fee payment, the term of their usage of the Licensed Software shall be coterminous with the preexisting then-current term. If Customer purchases an Upgrade, the term of the Agreement shall be the specific term set forth in the new License and Activation Key issued for the Upgrade.
5.2 Termination. Customer may terminate this Agreement at any time with written notice to StataCorp. StataCorp may terminate this Agreement immediately without notice if Customer breaches any term of this Agreement, including, without limitation, breaching the scope of the license granted or confidentiality obligations under this Agreement.
5.3 Effect of Expiration or Termination. Upon expiration or termination of this Agreement, (i) the rights and licenses granted to Customer pursuant to this Agreement shall automatically and immediately terminate and (ii) Customer shall immediately cease using the Licensed Software. In addition, for a fixed-term License Period, upon expiration of the License Period, the Activation Key will expire and the Licensed Software will cease to function. Sections 2.5, 2.6, 2.7, 2.8 4.4, 5.3, 7, 8, 9, 10, and 11 of this Agreement shall survive any expiration or termination of this Agreement.
FEES AND PAYMENT.
6.1 Fees and Payment Terms. Customer licenses the Licensed Software from StataCorp. This Agreement is between Customer and StataCorp solely. The applicable License Fee is specified on the StataCorp Website or in the specific price proposal provided by StataCorp or an Authorized Reseller. The payment terms and conditions for the License Fee payable to StataCorp are specified on the StataCorp invoice or in the specific price proposal provided by StataCorp. The payment terms and conditions for the License Fee payable to an Authorized Reseller are as specified by the specific Authorized Reseller. All fees paid to StataCorp are non-refundable except as explicitly permitted from time to time on the StataCorp Website. StataCorp may terminate this Agreement and invalidate Customer’s Activation Key if the billing or contact information is false, fraudulent, or invalid. Customer will pay all taxes, including sales, use, personal property, value-added, excise, customs fees, import duties, stamp duties, and any other similar taxes and duties, including penalties and interest, imposed by any United States federal, state, provincial, or local government entity or any non-U.S. government entity on the transactions contemplated by this Agreement, excluding taxes based upon StataCorp’s net income. Customer bears sole responsibility for any withholding taxes assessable by any local, state, provincial, or foreign jurisdiction. Should such taxes be deducted from the total amount payable, Customer is still liable for the full License Fee payable to StataCorp.
6.2 Additional Concurrent Authorized Users Fee. During the License Period, Customer shall pay to StataCorp or the specific Authorized Reseller the then-current rate for any licenses for additional Concurrent Authorized Users. This fee shall be charged or invoiced to Customer on the date such additional Concurrent Authorized Users are added to Customer’s account.
6.3 Concurrent Authorized User Accounting. Customer shall maintain business practices and records necessary to manage the number of Concurrent Authorized Users and compliance with the terms of this Agreement. StataCorp has the right to request usage reports during the License Period and Customer will provide such a report within 30 days of request. If StataCorp determines that Customer has more Concurrent Authorized Users than Customer has paid for, Customer shall immediately pay StataCorp the applicable additional fees.
CONFIDENTIALITY.
Customer and StataCorp agree to maintain the confidentiality of any confidential or proprietary information of one party (the “disclosing party”) received by the other party (the “receiving party”) during the term of, or prior to entering into, this Agreement that the receiving party should know is considered confidential or proprietary by the disclosing party based on the circumstances surrounding the disclosure, including, without limitation, non-public technical and business information (“Confidential Information”). The Licensed Software is copyrighted and shall be deemed StataCorp’s Confidential Information. The Documentation is copyrighted material of StataCorp. This section shall not apply to any information that is or becomes publicly available through no breach of this Agreement by the receiving party or is independently developed by the receiving party without access to or use of the Confidential Information of the disclosing party. The foregoing confidentiality obligations will not restrict either party from disclosing Confidential Information of the other party pursuant to the order or requirement of a court, administrative agency, or other governmental body, provided that the party required to make such a disclosure gives reasonable notice to the other party to enable the other party to seek a protective order or otherwise limit such disclosure. The receiving party of any Confidential Information of the disclosing party agrees not to use the disclosing party’s Confidential Information for any purpose except as necessary to fulfill its obligations and exercise its rights under this Agreement. The receiving party shall protect the secrecy of and avoid disclosure and unauthorized use of the disclosing party’s Confidential Information with no less than reasonable care. All the disclosing party’s information remains the property of the disclosing party.
LIMITATION OF LIABILITY.
8.1 Consequential Damages Waiver. IN NO EVENT SHALL STATACORP OR ITS LICENSORS HAVE ANY LIABILITY FOR ANY INCIDENTAL, CONSEQUENTIAL, INDIRECT, SPECIAL, OR PUNITIVE DAMAGES ARISING OUT OF OR IN CONNECTION WITH THIS AGREEMENT, REGARDLESS OF THE FORM OF THE ACTION, WHETHER IN CONTRACT, TORT (INCLUDING NEGLIGENCE), STRICT PRODUCT LIABILITY, OR OTHERWISE, EVEN IF ANY REPRESENTATIVE OF STATACORP HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES AND NOTWITHSTANDING THE FAILURE OF THE ESSENTIAL PURPOSE OF THIS AGREEMENT OR ANY LIMITED REMEDY HEREUNDER.
8.2 Limitation of Damages. IN NO EVENT SHALL STATACORP’S LIABILITY ARISING OUT OF OR RELATED TO THIS AGREEMENT EXCEED: (I) IF THE LICENSED SOFTWARE IS LICENSED FROM STATACORP DIRECTLY, THE LICENSE FEES PAID BY CUSTOMER TO STATACORP FOR THE LICENSED SOFTWARE, OR (II) IF THE LICENSED SOFTWARE IS LICENSED THROUGH AN AUTHORIZED RESELLER, THE LICENSE FEES PAID BY CUSTOMER TO THE APPLICABLE AUTHORIZED RESELLER, AS APPLICABLE. IN NO EVENT WILL STATACORP’S LICENSORS HAVE ANY LIABILITY FOR ANY CLAIM ARISING IN CONNECTION WITH THIS AGREEMENT.
8.3 Limitation of Remedies. THE PARTIES AGREE THAT THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING THE FAILURE OF THE ESSENTIAL PURPOSE OF THIS AGREEMENT OR ANY LIMITED REMEDY HEREUNDER.
U.S. GOVERNMENT CUSTOMERS.
The Licensed Software under this Agreement is “commercial computer software” as that term is described in DFAR 252.227- 7014(a)(1). If acquired by or on behalf of a civilian agency, the U.S. Government acquires this commercial computer software and/or commercial computer software documentation subject to the terms and this Agreement as specified in 48 C.F.R. 12.212 (Computer Software) and 12.111(Technical Data) of the Federal Acquisition Regulations (“FAR”) and its successors. If acquired by or on behalf of any agency within the Department of Defense (“DOD”), the U.S. Government acquires this commercial computer software and/or commercial computer software documentation subject to the terms of this Agreement as specified in 48 C.F.R. 227.7202 of the DOD FAR Supplement and its successors.
ICD-10 USERS.
The World Health Organization (WHO) ICD-10 codes are provided as part of the Licensed Software with the expressed permission and direction of the WHO. The use of ICD-10 with Licensed Software does not imply any endorsement of Licensed Software by WHO. The ICD-10 codes shall not be amended, abridged, translated, deleted or in any way changed without the consent of WHO. The ICD-10 codes are for the use of Authorized User. They are not to be reproduced, transmitted or distributed outside of Authorized User’s organization in any form or by any means except in summary results of analyses. ICD- 10 is distributed without warranty of any kind, either express or implied. In no event shall the World Health Organization be liable for damages, including any general, special, incidental, or consequential damages, arising out of the use of ICD-10.
GENERAL.
Except as expressly provided herein, Customer may not assign or transfer any of its rights under this Agreement (including its licenses with respect to the Licensed Software and Documentation) without the prior written consent of StataCorp. Unless the Customer is required by statute or regulation to apply the law of a state other than Texas, this Agreement will be governed by and construed in accordance with the laws of the State of Texas and the federal U.S. laws applicable therein, excluding any conflicts of law provisions, and the Customer and StataCorp agree to submit to the personal and exclusive jurisdiction of the courts located in Harris County, Texas. If the statute or regulation applying to the Customer requires the application of a law of a state other than Texas, the parties agree that the terms of this Agreement shall be governed and construed in accordance with the law specified in such statute or regulation, and the Customer shall give written notice of such requirement to StataCorp. The application of such different law shall be effective upon the receipt of such written notice by StataCorp. The parties agree that the United Nations Convention on Contracts for the International Sale of Goods will not apply to this Agreement. The failure of either party to require performance by the other party of any provision hereof shall not affect the full right to require such performance at any time thereafter, nor shall the waiver by either party of a breach of any provision hereof be taken or held to be a waiver of the provision itself. If any provision of this Agreement is found void and unenforceable, it will be replaced to the extent possible by StataCorp with a provision that comes closest to the meaning of the original provision. This Agreement and the documents referenced in this Agreement constitute the entire agreement between Customer and StataCorp relating to its subject matter and all terms herein and supersede all prior or contemporaneous agreements or understandings. This Agreement may be modified or changed only in writing signed by authorized representatives of Customer and StataCorp. Notices hereunder shall be in writing and addressed to Customer at the address provided when purchasing this license or, in the case of StataCorp, when addressed to StataCorp LLC, Attn: Executive Director of Finance and Operations, 4905 Lakeway Drive, College Station, Texas 77845, USA.
Version 20 April 2021
| Stata/MP | Stata/SE | Stata/BE | |
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Windows 8.1, 10, 11* Windows Server 2022, 2019, 2016, 2012RD*
* Stata richiede Windows a 64 bit per processori x86-64 realizzati da Intel® e AMD (Core i3 equivalente o migliore)
Mac con processori Intel o Apple Silicon. (Core i3 equivalente o migliore)
MacOS 11.00 (Big Sur) o successivi per Macs con Apple Silicon e macOS 10.12 (Sierra) o successivi per Macs con processori Intel a 64-bit
Linux, qualsiasi 64 bit (x86-64 o compatibile)
Richiede almeno la libreria GNU C (glibc) 2.17 o migliore (controllare l’output di ldd -v all’interno del terminale
xstata richiede anche l’installazione di GTK 2.24
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Windows 8.1, 10, 11* Windows Server 2022, 2019, 2016, 2012RD*
* Stata richiede Windows a 64 bit per processori x86-64 realizzati da Intel® e AMD (Core i3 equivalente o migliore)
Mac con processori Intel o Apple Silicon. (Core i3 equivalente o migliore)
MacOS 11.00 (Big Sur) o successivi per Macs con Apple Silicon e macOS 10.12 (Sierra) o successivi per Macs con processori Intel a 64-bit
Linux, qualsiasi 64 bit (x86-64 o compatibile)
Richiede almeno la libreria GNU C (glibc) 2.17 o migliore (controllare l’output di ldd -v all’interno del terminale.
xstata richiede anche l’installazione di GTK 2.24
|
Windows 8.1, 10, 11* Windows Server 2022, 2019, 2016, 2012RD*
* Stata richiede Windows a 64 bit per processori x86-64 realizzati da Intel® e AMD (Core i3 equivalente o migliore)
Mac con processori Intel o Apple Silicon. (Core i3 equivalente o migliore)
MacOS 11.00 (Big Sur) o successivi per Macs con Apple Silicon e macOS 10.12 (Sierra) o successivi per Macs con processori Intel a 64-bit
Linux, qualsiasi 64 bit (x86-64 o compatibile)
Richiede almeno la libreria GNU C (glibc) 2.17 o migliore (controllare l’output di ldd -v all’interno del terminale.
xstata richiede anche l’installazione di GTK 2.24 |
| RAM | 4 GB | 2 GB | 1 GB |
| Spazio su Disco Fisso | 2 GB | 2 GB | 2 GB |
Altre Richieste Hardware :
Stata per Linux richiede una scheda video in grado di visualizzare almeno un migliaio di colori (16-bit o 24-bit colore)
CONTRATTO DI MANUTENZIONE StataCorp LLC
La StataCorp offre ai propri clienti la possibilità di sottoscrivere un contratto di manutenzione annuale e semestrale che offre i seguenti vantaggi:
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un aggiornamento gratuito all’ultima versione di Stata, nel caso in cui ne venga rilasciata una nuova durante il periodo di sottoscrizione al contratto di manutenzione;
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accesso al servizio di supporto tecnico online sia di TStat che di StataCorp.
CONferenza Italiana degli Utenti di Stata
La Conferenza rappresenta un importante punto di riferimento fra gli utenti di Stata e un’occasione unica di scambio interdisciplinare. Sono infatti graditi sia contributi metodologici, sia analisi applicate in diversi campi di ricerca, nuovi comandi scritti dagli utenti, nonché disparate applicazioni in Economia, Biostatistica, Scienze Sociali, Psicologia e gestione dei dati.
Le pubblicazioni della Stata Press sono potenti strumenti per l’apprendimento non solo di particolari metodologie statistiche ma anche di come utilizzare il Software Stata nel modo più efficiente. I testi illustrano passo per passo l’applicazione in Stata di metodi di analisi sviluppati in vari campi di ricerca e sono un importante supporto di approfondimento per tutti gli utenti.
Al contrario di un corso di formazione di tipo tradizionale, dove gli iscritti devono frequentare il corso di persona, i NetCourse della StataCorp si svolgono completamente on-line dove gli iscritti entrano a far parte di un circuito chiuso di posta elettronica. I NetCourse sono quindi più facilmente accessibili dal punto di vista logistico ed economico rispetto ai corsi di tipo tradizionale. Inoltre la struttura dei corsi è molto più flessibile, dato che non ci sono vincoli d’orario. Normalmente i corsi sono divisi fra alcune sessioni; all’inizio di ogni sessione, gli iscritti ricevono tutto il materiale rilevante: dispense; risposte alle domande e soluzioni dagli esercizi fatti nella sessione precedente. Fra le sessioni c’è un periodo di interruzione che permette agli iscritti di: ripassare le precedenti lezioni; fare alcuni esercizi relativi alla materia dell’ultima sessione; discutere problemi/idee con gli altri partecipanti e il responsabile del corso. Alla fine del corso, il circuito di posta elettronica rimane aperto per un periodo predefinito per permettere discussioni fra i partecipanti e il responsabile.
Stata Journal è una rivista scientifica che contiene articoli recensiti relativi a Stata e sul software scritti dall’utente Stata. Stata Journal è incluso negli indici di citazioni scientifiche.
STATA USERS LIST- ‘THE STATA LISTSERVER’
Lo Statalist è un forum gestito dagli utenti di Stata tramite il quale tutti gli utenti, a partire dai neofiti ai più esperti, possono scambiare le informazioni, mantenendo un interessante e sempre acceso dialogo sulla statistica e su Stata. Per seguire il Forum è necessario registrarsi (gratuitamente) a: http://www.statalist.org/forums/register
Archivi dello Statalist
Il Boston College Statistical Software Components Archive (SSC), coordinato da Christopher Baum (baum@bc.edu) contiene tutti gli scambi di programmi completi o comandi scritti dagli utenti Stata dello Statalist. L’archivio contiene anche script e programmi di altri Software statistici e matematici, ed è possibile reperire tutti i contenuti tramite: i) IDEAS, presso l’Università del Quebec, Canada; e ii) EconPapers, presso la Scuola di Economia di Stoccolma (che può fornire un accesso più rapido agli utenti in Europa)
Per tutti coloro che desiderano approfondire l’utilizzo di Stata attraverso una serie di brevi Video Tutorial on-line.
AGGIORNAMENTO AUTOMATICO DEGLI UPDATES UFFICIALI VIA INTERNET
Aggiornare gli updates ufficiali, comandi scritti da utenti di Stata ecc.
La documentazione completa in PDF, disponibile sia nella versione download sia nella versione con DVD del Software, composta da 33 manuali e più di 17.000 pagine, verrà archiviata automaticamente nella cartella c:\programmi\Stata17\docs, oppure dentro Applications/Stata/docs in ambiente Mac.
Il manuale Getting Started with Stata disponibile per Windows, Mac e Linux, contiene una breve e utile introduzione all’uso del software.
CHEAT SHEET
Gli utenti possono scaricare gli utili Cheat Sheats direttamente da:
WEBINARS DI STATA ONLINE
Per tutti coloro che desiderano approfondire l’utilizzo di Stata a partire dall’uso del Software, migliorare le proprie abilità e competenze per sviluppare qualcosa di nuovo, imparare alcuni trucchi per migliorare il proprio lavoro in stata e infine apprendere le tecniche base per un uso quotidiano efficiente di Stata, la StataCorp ha sviluppato una serie di Webinars efficaci e coinvolgenti. Per maggiori informazioni cliccare qui.
© Copyright StataCorp LLC 1996-2023
Stata è un software statistico completo le cui potenzialità sono in grado di soddisfare un’ampia gamma di utenti accademici e professionali, in discipline quali economia, sociologia, psicologia, biostatistica, epidemiologia e altre. Include una vasta gamma di funzioni statistiche (vedi la sezione principali caratteristiche) e piene capacità di data management. E’ facile da usare per utenti alle prime armi, ma allo stesso tempo offre opzioni di programmazione sofisticate per gli utenti più esperti.
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Automating Your Research in Stata: “A Little Bit of Programming Goes An Awfully Long Way!”
This course aims to provide participants with the fundamental Stata programming toolkit in order to facilitate, ...
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Time Series Modelling and Forecasting using Stata
Time Series data is today available for a wide range of several phenomena in Business, Finance, ...
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Introduzione a Stata
Il corso fornisce gli strumenti necessari per permettere ai partecipanti di eseguire la gestione e l’analisi ...
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Linear Panel Data Models in Stata
This introductory course offers participants the opportunity to acquire the necessary theoretical background and the applied ...
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Non-Linear Panel Data Models in Stata
This course follows on from our Linear Panel Data Models in Stata course to offer the ...
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Analisi Visiva dei Dati Spaziali: Creare le Mappe in Stata
L’obiettivo del corso è offrire un’introduzione all’analisi visiva dei dati spaziali mediante il software Stata. Il ...
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Analisi dei Rischi Competitivi in Stata
L’analisi dei dati in presenza di rischi competitivi include sia strumenti di analisi dedicati, che ad ...
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Regressione Lineare e Logistica in Ambito Sanitario con Stata
Il corso “Regressione Lineare e Logistica in Ambito Sanitario in Stata” offre ai partecipanti una panoramica delle tecniche ...
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Machine Learning in Stata: Una Introduzione Modulo I
Il corso offre una introduzione ad alcune popolari tecniche di machine learning utilizzando il software Stata. ...
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Machine Learning in Stata: Una Introduzione Modulo II
Il corso offre una introduzione ad alcune popolari tecniche di machine learning utilizzando il software Stata. ...
