- produces one-way to n-way frequency and crosstabulation tables
from complex multistage survey designs with stratification, clustering,
and unequal weighting
- tables include estimates of population totals, population proportions,
and their standard errors
- computes confidence limits, coefficients of variation, and design effects
- provides a variety of options to customize the table display
- provides Rao-Scott chi-square goodness-of-fit
tests, which are adjusted for the sample design, for one-way frequency tables
- test a null hypothesis of equal proportions for a one-way frequency table or input a custom null
hypothesis proportions for the test
- provides design-adjusted tests of independence, or
no association, between the row and column variables for two-way tables. These tests include the following:
- Rao-Scott chi-square test
- Rao-Scott likelihood ratio test
- Wald chi-square test
- Wald log-linear chi-square test
- computes estimates and confidence limits for risks (or row proportions), the risk difference,
the odds ratio, and relative risks for 2x2 tables
- Variances of the estimated 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 each overall proportion estimates in frequency and crosstabulation tables
- obtain separate analyses on observations in groups (distinct from subpopulation analysis)
- 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 SURVEYFREQ Procedure
( PDF | HTML )
Examples
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