Capabilities

The SURVEYREG Procedure

performs linear regression analysis for complex survey sample designs, including designs with stratification, clustering, and unequal weighting
computes the regression coefficient estimators by generalized least squares estimation using elementwise regression
Variances of the regression parameters computed by using the following methods:
- Taylor series (linearization)
- balanced repeated replication (BRR)
- delete-1 jackknife
employ Fay's method with BRR
input or output a SAS data set containing a Hadamard matrix for BRR
import or export SAS data sets containing replicate weights for BRR or jackknife methods
create a SAS data set containing 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
obtain separate analyses on observations in groups (distinct from subpopulation analysis)
test linear hypotheses about the regression parameters
estimate a linear function of the regression parameters
create a new 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
uses ODS to create a SAS data set corresponding to any table
supports ODS Graphics

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

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