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• SAS/STAT Procedures A-Z

The SURVEYLOGISTIC Procedure

• fits models with binary, ordinal, or nominal dependent variables with the following link functions:
  • logit
  • probit
  • complementary log-log
  • generalized logit
• incorporates complex survey sample designs, including designs with stratification, clustering, and unequal weighting
• Variances of the regression parameters and odds ratios are computed by using the following methods:
  • Taylor series (linearization)
  • balanced repeated replication (BRR)
  • delete-1 jackknife
• employ Fay's method with BRR
• input or output a SAS data set containing a Hadamard matrix for BRR
• import or export SAS data sets containing replicate weights for BRR or jackknife methods
• create a SAS data set containing the jackknife coefficients
• provides analysis for subpopulations, or domains, in addition to analysis for the entire study population
• obtain separate analyses on observations in groups (distinct from subpopulation analysis)
• estimation methods include maximum likelihood via the Fisher scoring or Newton-Raphson algorithms
• control the ordering of the response categories
• compute a generalized R2 measure for the fitted model
• test linear hypotheses about the regression parameters
• specify units of change for continuous explanatory variables so that customized odds ratios can be estimated
• create a data set containing the variables in the input data set, the estimated linear predictors and their standard error estimates, the estimates of the cumulative or individual response probabilities, and the confidence limits for the cumulative probabilities
• uses ODS to create a SAS data set corresponding to any table
• supports ODS Graphics

For further details see the SAS/STAT User's Guide: The SURVEYLOGISTIC Procedure
( PDF | HTML )

Examples

• Stratified Cluster Sampling
• The Medical Expenditure Panel Survey (MEPS)

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