Cox proportional hazards
Time-varying covariates and censoring
Continuously time-varying covariates
Four ways to handle ties: Breslow, exact partial likelihood, exact marginal likelihood, and Efron
Robust, cluster–robust, bootstrap, and jackknife standard errors
Stratified estimation
Shared frailty models
Sampling weights and survey data
Multiple imputation
Martingale, efficient score, Cox–Snell, Schoenfeld, and deviance residuals
Likelihood displacement values, LMAX values, and DFBETA influence measures
Harrell’s C, Somers’ D, and Gönen and Heller’s K statistics measuring concordance
Tests for proportional hazards
Graphs of estimated survivor, hazard, and cumulative hazard functions
Competing-risks regression*
Fine and Gray proportional subhazards model
Time-varying covariates
Robust, cluster–robust, bootstrap, and jackknife standard errors
Multiple imputation
Efficient score and Schoenfeld residuals
DFBETA influence measures
Subhazard ratios
Cumulative subhazard and cumulative incidence graphs
Parametric survival models
Weibull, exponential, Gompertz, lognormal, loglogistic, or generalized gamma model
Robust, cluster–robust, bootstrap, and jackknife standard errors
Stratified models
Individual-level frailty
Group-level or shared frailty
Sampling weights and survey data
Multiple imputation
Martingale-like, score, Cox–Snell, and deviance residuals
Graphs of estimated survivor, hazard, and cumulative hazard functions
Predictions and estimates
Mean or median time to failure
Mean or median log time
Hazard
Hazard ratios
Survival probabilities
Treatment-effects estimation for observational survival-time data*
Regression adjustment
Inverse-probability weighting (IPW)
Doubly robust methods
IPW with regression adjustment
Weighted regression adjustment
Weibull, exponential, gamma, or lognormal outcome model
Average treatment effects (ATEs)
ATEs on the treated (ATETs)
Potential-outcome means (POMs)
Robust, bootstrap, and jackknife standard errors
Random-effects parametric survival models*
Weibull, exponential, lognormal, loglogistic, or gamma model
Robust, cluster–robust, bootstrap, and jackknife standard errors
Multilevel mixed-effects parametric survival models*
Weibull, exponential, lognormal, loglogistic, or gamma models
Robust and cluster–robust standard errors
Sampling weights and survey data
Marginal predictions and marginal means
Structural equation models with survival outcomes*
Latent predictors of survival outcomes
Path models, growth curve models, and more
Weibull, exponential, lognormal, loglogistic, or gamma models
Survival outcomes with other outcomes
Sampling weights and survey data
Marginal predictions and marginal means
Features of survival models
Single- or multiple-failure data
Left-truncation
Right-censoring
Time-varying regressors
Gaps
Recurring events
Start–stop format
Different types of failure events
Multiple time scales allowed
Postestimation Selector*
View and run all postestimation features for your command
Automatically updated as estimation commands are run
Life tables and analysis
Graphs and tables of estimates and confidence intervals
Mean survival times and confidence intervals
Cox regression adjustments
Actuarial adjustments
Tests of equality: log-rank, Cox, Wilcoxon–Breslow–Gehan, Tarone–Ware, Peto–Peto–Prentice, and Fleming–Harrington
Tests for trend
Stratified test
Power analysis
Solve for sample size, power, or effect size
Log-rank test of survival curves
Cox proportional hazards model
Exponential regression
Utilities
Create nested case–control datasets
Split and join time records
Convert snapshot data into time-span data
Obtain summary statistics, confidence intervals, etc.
Confidence intervals for incidence-rate ratio and difference
Confidence intervals for means and percentiles of survival time
Tabulate failure rate
Calculate person-time (person-years), incidence rates, and standardized mortality/morbidity ratios (SMR)
Calculate rate ratios with the Mantel–Haenszel or Mantel–Cox method
Graphs of survivor, hazard, or cumulative hazard function
Kaplan–Meier survival or failure function
Nelson–Aalen cumulative hazard
Graphs and comparative graphs
Confidence bands
Embedded risk tables
Adjustments for confounders
Stratification
Additional resources
Survival Analysis and Epidemiological Tables Reference Manual
In the spotlight: Competing-risks regression
An Introduction to Survival Analysis Using Stata, Revised Third Edition
Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model
