ANOVA/MANOVA
LINEAR MODELS
TIME SERIES
DATA MANAGEMENT
LONGITUDINAL DATA/PANEL DATA
SURVIVAL ANALYSIS
GRAPHICS
MULTILEVEL MIXED-EFFECTS MODELS
BAYESIAN ANALYSIS
GRAPHICAL USER INTERFACE
BINARY, COUNT, AND LIMITED OUTCOMES
POWER AND SAMPLE SIZE
DOCUMENTATION
GENERALIZED LINEAR MODELS
Causal inference/Treatment effects
BASIC STATISTICS
STRUCTURAL EQUATION MODELING (SEM)
OTHER STATISTICAL METHODS
FUNCTIONS
EXACT STATISTICS
MULTIPLE IMPUTATION
INTERNET CAPABILITIES
USER-WRITTEN COMMANDS
TEST, PREDICTIONS, AND EFFECTS
CONTRASTS, PAIRWISE COMPARISONS, AND MARGINS
SURVEY DATA METHODS
MATRIX PROGRAMMING-MATA
CLUSTER ANALYSIS
Nonlinear regression, GMM and other systems of equations
IRT (ITEM RESPONSE THEORY)
EMBEDDED STATISTICAL COMPUTATIONS
SIMPLE MAXIMUM LIKELIHOOD
MULTIVARIATE METHODS
INSTALLATION QUALIFICATION
ACCESSIBILITY
PROGRAMMABLE MAXIMUM LIKELIHOOD
NONPARAMETRIC METHODS
RESAMPLING AND SIMULATION METHODS
EPIDEMIOLOGY
BAYESIAN ANALYSIS
OVERVIEW OF BAYESIAN ANALYSIS
IRT (item response theory)
UNICODE
INTEGRATION WITH EXCEL
SURVIVAL OUTCOMES
ENDOGENOUS TREATMENTS
BALANCE DIAGNOSTICS AND TESTS
SAMPLING WEIGHTS
MULTILEVEL SURVIVAL MODELS
SURVEY DATA
MULTILEVEL SAMPLING WEIGHTS
SURVIVAL MODELS
DENOMINATOR DEGREES OF FREEDOM
MARGINAL PREDICTIONS, MEANS, EFFECTS
SATORRA–BENTLER ADJUSTMENTS
SURVIVAL MODELS
SURVEY DATA
MARGINAL PREDICTIONS, MEANS, EFFECTS, AND MORE
MULTILEVEL WEIGHTS
POWER AND SAMPLE SIZE
MARKOV-SWITCHING MODELS
MULTILEVEL MODELS
SURVIVAL MODELS
SEM (structural equation modeling)
MULTISTAGE/MULTILEVEL WEIGHTS
PANEL-DATA SURVIVAL MODELS
FRACTIONAL OUTCOME REGRESSION
MULTIPLE OUTCOMES
MULTIPLE EQUATIONS
INTEGRATE OVER RANDOM EFFECTS
INTEGRATE OVER LATENT VARIABLES
MORE DOCUMENTATION
HURDLE MODELS
CENSORED POISSON MODELS
BETA REGRESSION
STRUCTURAL BREAK TESTS
MORE DISTRIBUTION FUNCTIONS
MARSENNE TWISTER
MORE THAN 2 BILLION OBSERVATIONS
POSTESTIMATION MADE EASY
ICD – 10
INTERFACE IN SPANISH AND JAPANESE
ADD YOUR OWN MODELS
NATURAL MATH NOTATION
LOGICAL DESIGN
TYPISETTING FEATURES
COMPUTER ALGEBRA
WEB PUBLISHING
EXAM BUILDER
SPELL CHECKERS
NATURAL MATH NOTATION
LOGICAL DESIGN
TYPESETTING FEATURES
WEB PUBLISHING
SPELL CHECKERS
Top 10 applications and websites
MathType for Microsoft Word and PowerPoint
Entering Math by Hand:
Type TeX or LaTeX:
Easy Model Expression
List of Built-in Functions
Convenient Data Options
LINGO’s Database Capabilities
Spreadsheets
Powerful Solvers
Model Interactively or Create Turn-key Applications
Spreadsheet
Database
Spreadsheets
Extensive Documentation and Help
MULTI-LEVEL MIXED EFFECT MODELS
Probit
Generalized linear models (GLMs)
Ordered logistic
Small-sample inference in linear models (DDF adjustments)
Intraclass correlation coefficients (ICCs)
Works with multiple outcomes simultaneously
Integrates over random effects
Survey data for linear models
Survey data for generalized linear and survival models
Postestimation Selector
Factor variables
Marginal analysis
Programming features
Mata
Numerics by Stata
ODBC
Import and export data from Excel .xls and .xlsx files
Import and export CSV and delimited data
Convert datasets directly from other statistical packages, spreadsheets, and databases using third-party software
Built-in spreadsheet editor
Variables Manager
Functions
Unicode support
Automatic memory management
20 billion or more observations in Stata/MP
PANEL/LONGITUDINAL DATA
Survival/duration data
Time series
Survey data
Multiple imputations
Structural equation modeling (SEM)
Works with multiple outcomes simultaneously
Learn about Bayesian Analysis
Forecast models
State-space models
Dynamic-factor models
Time-series filters
In the spotlight: Double-robust treatment effects (two wrongs don’t make a right, but one does)
See multilevel models with survey data
Powerful Solvers
Stochastic Programming Features
Comprehensive Set of Routines
Convenient Interface to MATLAB
Extensive Documentation
LINGO’s Spreadsheet Capabilities
LINGO’s Database Capabilities
The World’s Most Powerful Solver for Microsoft Excel
Modeling is Fast and Easy
Build Models for your Clients
Extensive Documentation and Help
Improved data import
Simpler data preparation
Fast and efficient data sampling functions
Simplified function calls
Generalized Linear Model
Function speed-ups, enhancements and other new functions
COINT 2.1: Co-integrated System
Gaussx 10: Professional Econometrics Routines
GENO 2.0: General Evolutionary Numerical Optimizer
GUI Tools 1.0
IGX: Integrated GraphiX 1.0
LikPak 1.0: Likelihood Procedures
Mercury GE 8.1: Interface Tools
Mercury 8.0: Interface Tools
SimGauss 2.0: Nonlinear Simulation
SNAP 2.2: Social Network Analysis Procedures
SSATS 2.0: State Space Aoki Time Series
Stat/Transfer 13: Data Conversion Utility
Symbolic Tools 2.0
TSM 1.2: Time Series/Wavelets for Finance
Algorithmic Derivatives
Bayesian Estimation Tools
Constrained Maximum Likelihood MT
Constrained Optimization MT
CurveFit
Descriptive Statistics MT
Discrete Choice Analysis Tools 2.0
FANPAC MT
Linear Programming MT
Linear Regression MT
Loglinear Analysis MT
Maximum Likelihood MT
Nonlinear Equations MT
Time Series MT 3.0
Optimization MT
GAUSS Application
GAUSS System
GAUSS Data Tool
GAUSS Engine
Stat/Transfer User Interface
Command Processor
Program Generation
SASdecoder Add-on
Stata/MP
Spreadsheets
CATS (Cointegration Analysis of Time Series)
Procedures and Examples Page
RATS Discussion Forums
Support
Courses and Seminars
Software Updates
List of Known Bugs
WORDSTAT CONTENT ANALYSIS DICTIONARIES
WORDSTAT SOFTWARE DEVELOPMENT KIT (SDK)
[TE] ssteffects
Eviews Add-Ins
Eviews Support Texts
Eviews Tutorials
Gauss Tutorials
A gentle introduction to using structures
User created threads
Vectorizing Gauss Programs
Basic graphs in Gauss with programmatic customization
Saving and loading Gauss matrix files
Reading CSV and other text data
Generating Data From a Linear Model
Multi-dimensional array basics in Gauss
Converting to structures: An example with ols and olsmt
Why learn to use structures?
Performance considerations
Introduction: Internally threaded functions
Loop Optimizations
Exporting graphs interactively
Graphing data
Gauss Basics: First Gauss Statements
Running a Program File
Reading and writing Excel data with GAUSS
Loading variables from Excel into Gauss
Time series plots
Programma Sessione Epidemiologia Clinica e Sanità Pubblica
Programma Sessione Scienze Economiche
Contratto di Manutenzione StataCorp.
Simulated Annealing
Genetic Annealing
Monte Carlo/Gibbs loops
Rolling Sample
New Project Wizard
Edit-Prettify
FINITE MIXTURE MODELS (FMMs)
DSGE MODELS
LATENT CLASS ANALYSIS
Community-contributed features
SPATIAL AUTOREGRESSIVE MODELS
In the spotlight: Bayesian “random-effects” models
How do you compare? Examining effects in multilevel models using contrasts
In the spotlight: Estimating, graphing, and interpreting interactions using margins
In the spotlight: Visualizing continuous-by-continuous interactions with margins and twoway contour
In the spotlight: Meet Stata’s new xtmlogit command
Path diagram for multinomial logit with random effects
New univariate time-series features added in 13.1
In the spotlight: forecast for dynamic panel data and counterfactuals
In the spotlight: Double-robust treatment effects (two wrongs don’t make a right, but one does)
In the spotlight: Treatment effects
In the spotlight: eteffects and the challenges of making causal inferences
In the spotlight: Export tables to Excel®
In the spotlight: Finding and using results, constants, functions … anything
In the spotlight: Storing long strings and entire files in Stata datasets
Heteroskedasticity consistent robust stardard error options
Improved VAR serial correlation testing
Additional autoregressive distributed lag (ARDL) tools
Improved nonlinear forecasting
VAR historical decomposition
Structural VAR restriction improvements
VARs with linear restrictions
Clustered stardard errors
Smooth threshold regression (STR)
Model bounds checking
VAR structural residuals
Special function computation
MoveReg weekly seasonal adjustment
Season-trend decomposition (STL)
Table sorting
Miscellaneous new graph options
New default graph styles
Interface to European Central Bank data
Series updating in graphs
Bubble plots
Saving to JSON
Saving to Tableau®
Interface to Eurostat data.
Enhanced logging abilities.
Interface to United Nations data.
Interface to World Bank data.
Attribute importing and exporting.
Improved integration with R.
Support for long object names.
Live statistics for spreadsheet views.
Automatic and user-controlled workfile history, snapshot and backup system.
Parametric survival models for interval-censored data
Latent class analysis (LCA)
Extended regression models (ERMss.)
Nonlinear multilevel mixed-effects models
Convert dynamic Markdown documents to HTML with dyndoc
Built-in Functions
Bayesian regression models using the bayes prefix
Linearized DSGEs
Finite mixture models (FMMs)
Spatial autoregressive models
Alternative-specific mixed logit regression
Nonparametric regression
Easy import of Federal Reserve Economic Data
Create Word documents with embedded Stata results
Bayesian multilevel models
Threshold regression
Panel-data tobit models with random coefficients and intercepts
Multilevel mixed-effects interval regression
Multilevel tobit models
Panel-data cointegration tests
Cumulative sum test for parameter stability
Multiple-group generalized SEM
Analyze data with ICD-10-CM/PCS codes
Power analysis for cluster randomized designs
Power analysis for linear regression
Heteroskedastic linear regression
Poisson models with sample selection
Nonlinear models with random effects, including random coefficients
Bayesian panel-data models
Interval regression with random intercepts and random coefficients
Transparency in graphs
SVG export
Stata in Swedish
Improvements to the Do-file Editor
Bayesian survival models
Zero-inflated ordered probit
Add your own power and sample-size methods
Bayesian sample-selection models
And yet more
Extended regression models (ERMs)
Contrasts
Pairwise comparisons
Marginal analysis with multiple outcomes
Maximum likelihood estimation
MANUALISTICA
Matrix manipulation
Relational and logical operators
The Source Path (SRC_PATH)
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Main
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EVIEWS INTERFACE
ECONOMETRICS AND STATISTICS
Value-Based Coloring
Integration with Python
Bayesian VARs
Powerful Analytic Tools
GRAPHS, TABLES AND SPOOLS
An Intuitive, Easy-to-Use Interface
Sophisticated Data Management
Presentation Quality Output
Traditional Command Line and Programming Interface
Introductory tutorials
Main tutorials
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META-ANALYSIS
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Precision and sample-size analysis for CIs
Panel-data mixed logit
Nonlinear DSGE
Multiple-group IRT models
xtheckman
NLME models
Heteroskedastic ordered probit models
Point sizes for graphics
Choice models
REPORTING
META-ANALYSIS
LASSO
MATA—STATA’S SERIOUS PROGRAMMING LANGUAGE
GRAPHICAL USER INTERFACE
Numerical integration
Linear programming
Stata in Korean
New in the Mac interface
New features in the Do-file Editor
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Python integration
NOVITA’ STAT/TRANSFER 14
Aggiornamento disponibile a Stata 16.1 per tutti gli Utenti Stata 16
Support materials for Data Management Using Stata: A Practical Handbook, Second Edition
Updated Interface and Programming Support
Data Handling
New Graph, Table and Geomap Features
Estimation
Testing and Diagnostics
Updated Modelling Tools
RUNNING PROVALIS RESEARCH SOFTWARE ON A MAC COMPUTER
NetCourse 101: Introduction to Stata
NetCourse 120: Statistical Graphics Using Stata
NetCourse 151: Introduction to Stata Programming
NetCourse 251: Writing Your Own Stata Commands
NetCourse 461: Univariate Time Series with Stata
NetCourse 471: Introduction to Panel Data Using Stata
NetCourse 631: Introduction to Survival Analysis Using Stata
Tables
Bayesian Econometrics
Interval-censored Cox model
Difference-in-differences (DID) and DDD models
Bayesian VAR models
Multivariate meta-analysis
Treatment-effects estimation using lasso
Panel-data multinomial logit model
Zero-inflated ordered logit model
Bayesian IRF and FEVD analysis
Bayesian dynamic forecasting
New features in the Do-file Editor
Intel Math Kernel Library (MKL)
Stata on Apple Silicon
Connecting to databases using JDBC
PyStata—Python and Stata
Jupyter Notebook with Stata
Making Stata faster
Bayesian multilevel modeling: Nonlinear, joint, SEM-like
New date and time functions
Leave-one-out meta-analysis
Galbraith plots
Bayesian longitudinal/panel-data models
Nonparametric tests for trend
Lasso with clustered data
BIC for lasso penalty selection
Bayesian linear and nonlinear DSGE models
H2O integration
Java integration
GAUSS Engine
Getting Started With GAUSS
GAUSS Quick Reference
Beginner Program: Nearest Neighbor Search
Viewing Data In GAUSS
Interactive commands
Running a program
Introduction to matrices
Matrix operations
Element-by-element conformability
Logical and relational operators
Descriptive Statistics from a Dataset
OLS Regression From A Dataset
Generalized Linear Model From a Dataset
Linear regression model
Generating and visualizing regression residuals
Generating and visualizing regression residuals
OLS diagnostics: Error term normality
OLS diagnostics: Heteroscedasticity
OLS diagnostics: Influential data tests
OLS diagnostics: Multicollinearity
OLS diagnostics: Model specification
GMM Introduction
The Moment Equation
GMM Control Settings
OLS Estimation with Exogenous Regressors
OLS Estimation with Endogenous Regressors
Bayesian Monte Carlo Integration
Bayesian Importance Sampling
Bayesian Importance Sampling
Gibbs Sampling from a Bivariate Normal Distribution
Programma I-IN10
Programma I-EB23
Programma I-EB31
Programma I-EB38
Programma I-EF20
Programma I-IN22
Programma I-IN24
Programma I-WS11
Programma I-WS27
Programma I-EF35
Programma I-EF35
Programma I-EB12
Programma I-EB36
Programma I-WS22
Programma I-EF32
Programma I-AS11
Program D-EF34
Program D-EF41
INTERFACE
DATA MANAGEMENT
CUSTOMIZABLE TABLES
REPORTING
General Statistics
Bayesian Analysis
TREATMENT EFFECTS
Survival Analysis
Programming
QUICK START GUIDE TUTORIAL
NOVITA’ STAT/TRANSFER 15
Programma I-IN17
Programma I-WS26
Programma I-EB18
Programma I-WS15
Programma I-EB37
Programma I-IN23
Program I-WS21
Program I-EB13
PROGRAM D-EB14
Program I-IN20
Program I-SS14
Program D-EF15
Programma I-IN25
Program D-EF39
Program D-EF33
Program D-EF37
Program D-EF42
Program D-EF40
Program D-EF24
Program D-IN20
Program D-EF45
EVIEWS INTERFACE AND PROGRAMMING
DATA HANDLING
NEW GRAPH, TABLE AND GEOMAP FEATURES
ESTIMATION
Testing and Diagnostics
loadd
Start the License Manager
Set up the RLM as a Windows Service
CARATTERISTICHE DI SISTEMA RICHIESTE
Bayesian model averaging
Power, precision, and sample size
Data manipulation
FDA COMPLIANCE
BAYESIAN MODEL AVERAGING
CAUSAL MEDIATION ANALYSIS
Tables of descriptive statistics
Group sequential designs for clinical trials
ROBUST INFERENCE FOR LINEAR MODELS
Wild cluster bootstrap
Estimation of flexible demand systems
TVCs with interval-censored Cox model
Goodness-of-fit plots for survival models
Lasso for Cox proportional hazards models
Heterogeneous difference in differences (DID)
Multilevel meta-analysis
META-ANALYSIS FOR PREVALENCE
Local projections for impulse–response functions
MODEL SELECTION FOR ARIMA AND ARFIMA
RELATIVE EXCESS RISK DUE TO INTERACTION (RERI)
SPLINE FUNCTION GENERATION
CORRECTED AIC AND CONSISTENT AIC
INSTRUMENTAL-VARIABLES FRACTIONAL PROBIT MODEL
INSTRUMENTAL-VARIABLES QUANTILE REGRESSION
STATA GRAPHS HAVE AN ALL-NEW STYLE
GRAPH COLORS BY VARIABLE
ALIAS VARIABLES ACROSS FRAMES
SAVING, USING, AND DESCRIBING A SET OF FRAMES
BOOST-BASED REGULAR EXPRESSIONS
VECTORIZED NUMERICAL INTEGRATION
NEW REPORTING FEATURES
DO-FILE EDITOR ENHANCEMENTS
DATA EDITOR ENHANCEMENTS
GENERAL STATISTICS
CAUSAL INFERENCE
META-ANALYSIS
SURVIVAL ANALYSIS
MULTIVARIATE STATISTICS
GRAPHICS
DATA MANAGEMENT
FUNCTIONS
PROGRAMMING
MATA
INTERFACE
EVEN MORE
Program D-IN19
ATLAS.ti’s AI Solution: Streamline Your Data Coding and Save Time
‘XTCD2’: module to test for weak cross sectional dependence
More AI features for faster results
GAUSS Platform
Introduction to Parallel loops
Metropolis-Hastings Sampler
Introduction to TSMT and basic usage
Simulating ARMA data
Finding The Sample ACF and PACF
Estimating ARIMA Models
U.S. Whole Sale Price Index Application: Visualizing Time Series Data
MORAL FOUNDATIONS DICTIONARY 2.0
Using GAUSS Packages [Complete Guide]
Installing the GAUSS Package Manager [Video]
Filtering data with the Kalman Filter
Data management
GRAPHICS
REPORTING
INTERFACE
ATLAS.TI FOR MAC & WINDOWS: THE #1 SOFTWARE FOR QUALITATIVE DATA ANALYSIS
ATLAS.ti Web for browsers: The easiest way to uncover qualitative insights
The Ultimate Guide to Qualitative Research – Part 1: The Basics
The Ultimate Guide to Qualitative Research – Part 2: Handling Qualitative Data
The Ultimate Guide to Qualitative Research – Part 3: Presenting Qualitative Data