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Survey methods

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
  • Structural equation modeling
  • Censored and interval regression
  • Instrumental-variables regression
  • Heckman selection model
  • Probit estimation with selection
  • Nonlinear least squares
  • more

See multilevel models with survey data

Variance and standard-error estimates

  • Taylor-series linearization (Huber/White/sandwich)
  • Balanced and repeated replications (BRR)
  • Survey jackknife
  • Bootstrap (with bootstrap replicate weights)
  • Successive difference replication (SDR)

Sampling designs

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


  • Poststratification
  • Design effects
  • Misspecification effects
  • Effects for linear combinations
  • Coefficient of variation
  • Estimate linear/nonlinear combinations of parameters
  • Hypotheses tests for survey data
  • Estimation with linear constraints
  • Goodness of fit for logistic and probit estimators
  • Multiple imputation

Maximum pseudolikelihood estimation

  • User-defined likelihoods
  • Survey characteristics automatically handled

Summary statistics

  • 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

Factor variables

  • Automatically create indicators based on categorical variables
  • Form interactions among discrete and continuous variables
  • Include polynomial terms
  • Perform contrasts of categories/levels

Marginal analysis

  • Estimated marginal means
  • Marginal and partial effects
  • Average marginal and partial effects
  • Least-squares means
  • Predictive margins
  • Adjusted predictions, means, and effects
  • Contrasts of margins
  • Pairwise comparisons of margins
  • Profile plots
  • Interaction plots
  • Graphs of margins and marginal effects
Watch Profile plots and interaction plots in Stata tutorials

Additional resources

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