Estimators
Inverse-probability weights (IPW)
Propensity-score matching
Covariate matching
Regression adjustment
Weighted regression
Doubly robust methods
Augmented IPW (AIPW)
IPW with regression adjustment
Statistics
Average treatment effects (ATEs)
ATEs on the treated (ATETs)
Potential-outcome means (POMs)
Outcomes
Continuous—linear
Binary—logistic, probit, heteroskedastic probit
Count—Poisson
Fractional
Non-negative, including exponential mean
Survival—exponential, Weibull, gamma, lognormal
Treatments
Binary—logistic, probit, heteroskedastic probit
Multivalued-multinomial logistic
Diagnostics
Overlap plots
Covariate balance*
Endogenous treatment effects
Continuous outcome
Count outcome
Control-function estimator*
ATEs, ATETs, and POMs
Test for endogeneity
Postestimation selector*
View and run all postestimation features for your command
Automatically updated as estimation commands are run
Additional resource
Treatment-Effects Reference Manual
In the spotlight: Double-robust treatment effects (two wrongs don’t make a right, but one does)