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SURVEYREG Procedure


The SURVEYREG procedure performs regression analysis for sample survey data. This procedure can handle complex survey sample designs, including designs with stratification, clustering, and unequal weighting. The procedure fits linear models for survey data and computes regression coefficients and their variance-covariance matrix. The following are highlights of the SURVEYREG procedure's features:

  • computes the regression coefficient estimators by generalized least squares estimation using elementwise regression
  • computes variances of the regression parameters 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
  • calculates design effects for the regression coefficients
  • enables you to test linear hypotheses about the regression parameters
  • enables you to estimate a linear function of the regression parameters
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations (distinct from subpopulation analysis)
  • creates a SAS data set that contains the estimated linear predictors and their standard error estimates, the residuals from the linear regression, and the confidence limits for the predictors
  • creates a SAS data set that corresponds to any output table
  • automatically creates graphs by using ODS Graphics

For further details see the SAS/STAT User's Guide: The SURVEYREG Procedure
( PDF | HTML )

Examples