The SURVEYLOGISTIC Procedure
- Overview
- Getting Started
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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
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
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Examples
- References
Variance Estimation
By default, PROC SURVEYLOGISTIC displays the following variance estimation information in the "Variance Estimation" table:
Method, which is the variance estimation method
Variance Adjustment method
Upper Bound ADJBOUND parameter specified in the VADJUST=MOREL(ADJBOUND= ) option
Lower Bound DEFFBOUND parameter specified in the VADJUST=MOREL(DEFFBOUND= ) option
whether FPC (finite population correction) is used
Number of Replicates, if you specify the VARMETHOD=BRR or VARMETHOD=JACKKNIFE option
Number of Replicates Used, if you specify the VARMETHOD=BRR or VARMETHOD=JACKKNIFE option and some of the replicates are excluded due to unattained convergence
Hadamard Data Set name, if you specify the VARMETHOD=BRR(HADAMARD=) method-option
Fay Coefficient, if you specify the VARMETHOD=BRR(FAY) method-option
Replicate Weights input data set name, if you use a REPWEIGHTS statement
whether Missing Levels are created for categorical variables by the MISSING option
whether observations with Missing Values are included in the analysis by the NOMCAR option