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Bootstrap sampling and estimation
- Bootstrap Stata commands
- Bootstrap user-written programs
- Bootstrap coefficients from most estimation commands by adding an option
- Bias estimation
- Clustered data
- Stratified 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 generators
- Beta
- Binomial
- χ2
- Gamma
- Hypergeometric
- Negative binomial
- Normal
- Poisson
- Student’s t
- Uniform
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Jackknife estimation
- Jackknife Stata commands
- Jackknife user-written programs
- Jackknife coefficients from most estimation commands by adding an option
- Hold one out
- Clustered data
- Survey data
- Obtain jackknife standard errors from most estimation commands by adding an option
- Postjackknifing
- Tests of linear and nonlinear combinations of estimates
- Linear and nonlinear combinations of estimates with confidence intervals
Monte Carlo simulation
- Check the performance of statistical methods
- Simulate Stata commands
- Simulate user-written commands
Permutation tests
- Stratified data
- One-sided tests
- Two-sided tests
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