Documentation Example 2 for PROC SURVEYLOGISTIC
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: SVLEX2 */
/* TITLE: Documentation Example 2 for PROC SURVEYLOGISTIC */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: logistic regression, survey sampling */
/* KEYS: link functions, stratification, clustering */
/* KEYS: unequal weighting, categorical data analysis */
/* KEYS: MEPS */
/* PROCS: SURVEYLOGISTIC */
/* DATA: */
/* */
/* SUPPORT: sasaba */
/* REF: PROC SURVEYLOGISTIC, Example 2 */
/* */
/* MISC: The Household Component of the Medical */
/* Expenditure Panel Survey (MEPS) */
/* */
/* The data for this example can be downloaded as a */
/* SAS transport data set from */
/* */
/* https://meps.ahrq.gov/mepsweb/data_stats */
/* /download_data_files.jsp */
/* */
/* After downloading, run the following SAS commands, */
/* inserting your site-specific information, to create */
/* the imported data set and to run the analysis: */
/* */
/* filename in1 "<<Where you stored the */
/* unzipped transport-format file>>"; */
/* libname puflib "<<Where you want to store */
/* the data set>>"; */
/* proc xcopy in=in1 out=puflib import; */
/* run; */
/* */
/****************************************************************/
proc format;
value racex
-9 = 'NOT ASCERTAINED'
-8 = 'DK'
-7 = 'REFUSED'
-1 = 'INAPPLICABLE'
1 = 'AMERICAN INDIAN'
2 = 'ALEUT, ESKIMO'
3 = 'ASIAN OR PACIFIC ISLANDER'
4 = 'BLACK'
5 = 'WHITE'
91 = 'OTHER'
;
value sex
-9 = 'NOT ASCERTAINED'
-8 = 'DK'
-7 = 'REFUSED'
-1 = 'INAPPLICABLE'
1 = 'MALE'
2 = 'FEMALE'
;
value povcat9h
1 = 'NEGATIVE OR POOR'
2 = 'NEAR POOR'
3 = 'LOW INCOME'
4 = 'MIDDLE INCOME'
5 = 'HIGH INCOME'
;
value inscov9f
1 = 'ANY PRIVATE'
2 = 'PUBLIC ONLY'
3 = 'UNINSURED'
;
run;
libname mylib '';
data meps;
set mylib.H38;
label racex= sex= inscov99= povcat99=
varstr99= varpsu99= perwt99f= totexp99=;
format racex racex. sex sex.
povcat99 povcat9h. inscov99 inscov9f.;
keep inscov99 sex racex povcat99 varstr99
varpsu99 perwt99f totexp99;
run;
proc print data=meps (obs=30);
run;
proc surveylogistic data=meps;
stratum VARSTR99;
cluster VARPSU99;
weight PERWT99F;
class SEX RACEX POVCAT99;
model INSCOV99 = TOTEXP99 SEX RACEX POVCAT99 / link=glogit;
run;