The SURVEYPHREG Procedure
- Overview
- Getting Started
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Syntax
PROC SURVEYPHREG StatementBY StatementCLASS StatementCLUSTER StatementDOMAIN StatementESTIMATE StatementFREQ StatementLSMEANS StatementLSMESTIMATE StatementMODEL StatementNLOPTIONS StatementOUTPUT StatementProgramming StatementsREPWEIGHTS StatementSLICE StatementSTORE StatementSTRATA StatementTEST StatementWEIGHT Statement -
DetailsNotation and EstimationFailure Time DistributionTime and CLASS Variables UsagePartial Likelihood Function for the Cox ModelSpecifying the Sample DesignMissing ValuesVariance EstimationDomain AnalysisHypothesis Tests, Confidence Intervals, and ResidualsOutput Data SetsDisplayed OutputODS Table NamesODS Graphics
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Examples
- References
CLUSTER Statement
CLUSTER variables ;
The CLUSTER statement names variables that identify the first-stage clusters in a clustered sample design. First-stage clusters are also known as primary sampling units (PSUs). The combinations of categories of CLUSTER variables define the clusters in the sample. If there is a STRATA statement, clusters are nested within strata.
If your sample design has clustering at multiple stages, you should specify only the first-stage clusters (PSUs) in the CLUSTER statement. See the section Specifying the Sample Design for more information.
If you provide replicate weights for BRR or jackknife variance estimation with a REPWEIGHTS statement, you do not need to specify a CLUSTER statement.
The CLUSTER variables are one or more variables in the DATA= input data set. These variables can be either character or numeric, but the procedure treats them as categorical variables. The formatted values of the CLUSTER variables determine the CLUSTER variable levels. Thus, you can use formats to group values into levels. See the discussion of the FORMAT procedure in the Base SAS Procedures Guide and the discussions of the FORMAT statement and SAS formats in SAS Formats and Informats: Reference.
You can use multiple CLUSTER statements to specify CLUSTER variables. The procedure uses variables from all CLUSTER statements to create clusters. Cluster variables must not occur in the CLASS statement.