Bootstrap sampling and estimation
- Bootstrap Stata commands
- Bootstrap community-contributed programs
- Bootstrap coefficients from most estimation commands by adding an option
- Bias estimation
- Clustered data
- Stratified data
- Survey data

- Obtain bootstrap standard errors from most estimation commands by adding an option

- CI/variance estimators
- Normal approximation
- Percentile
- Bias-corrected (BC)
- Bias-corrected and accelerated (BCa)
- Postbootstrapping
- Tests of linear and nonlinear combinations of estimates
- Linear and nonlinear combinations of estimates with confidence intervals
Random-number functions 
- Uniform over interval (0,1)
- Uniform over interval (a,b)
- Uniform integers over interval [a,b]
- Standard normal
- Normal, mean m and std. deviation 1
- Normal, mean m and std. deviation s
- Beta
- Binomial
- Cauchy
- Chi-squared
- Exponential
- Gamma
- Hypergeometric
- Inverse Gaussian
- Laplace
- Logistic, mean m and std. deviation π/√3
- Logistic, mean 0, scale s, std. deviation sπ/√3
- Logistic, mean m, scale s, std. deviation sπ/√3
- Negative binomial
- Poisson
- Student's t
- Weibull, shape a, scale b
- Weibull, shape a, scale b, location g
- Weibull (proportional hazards), shape a, scale b
- Weibull (proportional hazards), shape a, scale b, location g
See New in Stata 17 to learn about what was added in Stata 17.