Survey regression models

• Linear regression
• Logistic regression
• Cox regression
• Parametric survival regression
• Multinomial logistic regression
• Conditional logit regression
• Negative binomial regression
• Ordered logistic regression
• Probit regression
• Ordered probit regression
• Poisson regression
• Censored and interval regression
• Instrumental-variables regression
• Heckman selection model
• Probit estimation with selection
• Nonlinear least squares
• Click here for a complete list

Variance and standard-error estimates

• Taylor-series linearization (Huber/White/sandwich)
• Balanced and repeated replications (BRR)
• Survey jackknife

Sampling designs

• Sampling (probability) weights
• Stratification
• Clustering
• Multistage designs
• Finite population correction in all stages
• Support for strata with one sampling unit

Features

• Design effects
• Misspecification effects
• Effects for linear combinations
• Estimate linear/nonlinear combinations of parameters
• Hypotheses tests for survey data
• Poststratification
• Estimation with linear constraints
• Multiple imputation

• Population and subpopulation means
• Population and subpopulation standard deviations
• Population and subpopulation proportions
• Population and subpopulation ratios
• Population and subpopulation totals
• Provide full covariance estimates across subpopulations

Summary tables

• Two-way contingency tables with tests of independence
• One-way tables
• Table describing the sampling design of survey data

Predictive margins

• Means
• Linear predictions
• Probabilities
• Risk differences

Marginal effects

• Marginal effects and elasticities
• Standard errors and confidence intervals
• Computed at means or specified covariate values
• Computed for any predicted statistic

Maximum pseudolikelihood estimation

• User-defined likelihoods
• Survey characteristics automatically handled