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Logistic Regression Models and Parameters
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The SURVEYLOGISTIC Procedure

  • Overview
  • Getting Started
  • Syntax Procedure Syntax
    PROC SURVEYLOGISTIC Statement BY Statement CLASS Statement CLUSTER Statement CONTRAST Statement DOMAIN Statement EFFECT Statement ESTIMATE Statement FREQ Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement OUTPUT Statement REPWEIGHTS Statement SLICE Statement STORE Statement STRATA Statement TEST Statement UNITS Statement WEIGHT Statement
  • Details Procedure Details
    Missing Values Model Specification Model Fitting Survey Design Information Logistic Regression Models and Parameters Variance Estimation Domain Analysis Hypothesis Testing and Estimation Linear Predictor, Predicted Probability, and Confidence Limits Output Data Sets Displayed Output ODS Table Names ODS Graphics
  • Examples Procedure Examples
    Stratified Cluster Sampling The Medical Expenditure Panel Survey (MEPS)
  • References
 
Logistic Regression Models and Parameters

The SURVEYLOGISTIC  procedure fits a logistic regression model and estimates the corresponding regression parameters. Each model uses the link function you specified in the LINK= option in the MODEL statement. There are four types of model you can use with the procedure: cumulative logit model, complementary log-log model, probit model, and generalized logit model.

  • Notation
  • Logistic Regression Models
  • Likelihood Function
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