Complex survey data analysis with SAS. Analyzing Continuous Variables Using PROC SURVEYMEANS: The PROC SURVEYMEANS statement invokes the procedure. It optionally names the input data sets, specifies statistics for the procedure to compute, and specifies the variance estimation method. The PROC SURVEYMEANS statement is required. The VAR statement identifies the variables to be analyzed. The CLASS statement identifies numeric variables that are to be analyzed as categorical variables. The STRATA statement lists the variables that form the strata in a stratified sample design. The CLUSTER statement specifies cluster identification variables in a clustered sample design. The DOMAIN statement lists the variables that define domains for subpopulation analysis. The RATIO statement requests ratio analysis for means or proportions of analysis variables. The WEIGHT statement names the sampling weight variable. The POSTSTRATA statement lists the variables that are used to form poststrata for poststratification. The REPWEIGHTS statement names replicate weight variables that are used by replication variance estimation methods. You can use a BY statement with PROC SURVEYMEANS to obtain separate analyses for groups that are defined by the BY variables.

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  1. Lewis, Taylor H.: Complex survey data analysis with SAS (2017)