SAS/STAT Software


The SURVEYLOGISTIC procedure fits linear logistic regression models for discrete response survey data by the method of maximum likelihood. For statistical inferences, PROC SURVEYLOGISTIC incorporates complex survey sample designs, including designs with stratification, clustering, and unequal weighting. The following are highlights of the SURVEYLOGISTIC procedure's features:

  • fits models with binary, ordinal, or nominal dependent variables with the following link functions:
    • logit
    • probit
    • complementary log-log
    • generalized logit
  • computes variances of the regression parameters and odds ratios by using the following methods:
    • Taylor series (linearization)
    • balanced repeated replication (BRR)
    • delete-1 jackknife
  • enables you to employ Fay's method with BRR
  • enables you to input or output a SAS data set containing a Hadamard matrix for BRR
  • enables you to import or export SAS data sets containing replicate weights for BRR or jackknife methods
  • creates a SAS data set that contains the jackknife coefficients
  • provides analysis for subpopulations, or domains, in addition to analysis for the entire study population
  • enables you to control the ordering of the response categories
  • computes a generalized R2 measure for the fitted model
  • tests linear hypotheses about the regression parameters
  • enables you to specify units of change for continuous explanatory variables so that customized odds ratios can be estimated
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations (distinct from subpopulation analysis)
  • creates a data set that contains 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
  • creates a SAS data set that corresponds to any output table
  • automatically creates graphs by using ODS Graphics

For further details see the SURVEYLOGISTIC Procedure