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You can use the test statement to obtain different types of chi-squared tests. Please see pages 278-279 of the SUDAAN manual for a description of the tests available in the crosstabs procedure. The last two tables in the output show the chi-squared tests that are requested on the test statement. They test the null hypothesis that the variables srsex and racehpra are not related. The nose option is used on the proc crosstabs statement to suppress the display of the standard errors. We have done this to make the output more readable.
proc crosstab data=temp1 filetype=sas design = jackknife nose; weight rakedw0; jackwgts rakedw1--rakedw80 / adjjack=1; tables srsex*racehpra; test chisq llchisq cmh; subgroup srsex racehpra; levels 2 3; run;
Number of observations read : 55428 Weighted count : 23847415 Denominator degrees of freedom : 80 Variance Estimation Method: Replicate Weight Jackknife by: SRSEX, RACEHPRA. ------------------------------------------------------------------------------------------ | | | | SRSEX | | RACEHPRA | | | Total | LATINO | PACIFIC | AIAN | | | | | | ISLANDER | | ------------------------------------------------------------------------------------------ | | | | | | | | Total | Sample Size | 10458 | 9458 | 219 | 781 | | | Weighted Size | 5791064.18 | 5643945.79 | 61972.10 | 85146.30 | | | Row Percent | 100.00 | 97.46 | 1.07 | 1.47 | | | Col Percent | 100.00 | 100.00 | 100.00 | 100.00 | | | Tot Percent | 100.00 | 97.46 | 1.07 | 1.47 | ------------------------------------------------------------------------------------------ | | | | | | | | MALE | Sample Size | 4435 | 3983 | 101 | 351 | | | Weighted Size | 2911702.72 | 2836612.17 | 30281.84 | 44808.71 | | | Row Percent | 100.00 | 97.42 | 1.04 | 1.54 | | | Col Percent | 50.28 | 50.26 | 48.86 | 52.63 | | | Tot Percent | 50.28 | 48.98 | 0.52 | 0.77 | ------------------------------------------------------------------------------------------ | | | | | | | | FEMALE | Sample Size | 6023 | 5475 | 118 | 430 | | | Weighted Size | 2879361.46 | 2807333.62 | 31690.25 | 40337.59 | | | Row Percent | 100.00 | 97.50 | 1.10 | 1.40 | | | Col Percent | 49.72 | 49.74 | 51.14 | 47.37 | | | Tot Percent | 49.72 | 48.48 | 0.55 | 0.70 | ------------------------------------------------------------------------------------------ ------------------------------------------------- | | | | | | | ------------------------------------------------- | | | | | | ChiSq | 1.02 | | | P-value ChiSq | 0.6019 | | | Degrees of | | | | Freedom ChiSq | 2 | | | LLChiSq | 1.03 | | | P-value LLChiSq | 0.5987 | | | Degrees of | | | | Freedom LLChiSq | 2 | ------------------------------------------------- ------------------------------------------------- | | | | | | 1 | ------------------------------------------------- | | | | | | Cochran-Mantel- | | | | Haenszel Chi- | | | | Square | 1.0217 | | | Degrees of | | | | Freedom CMH | 2 | | | P-value CMH Test | 0.6019 | -------------------------------------------------
The test statement can be used in proc regress to produce several kinds of Wald tests. Please see page 481 of the SUDAAN manual for more details. Note that proc rlogist does not seem to have a test statement.
proc regress data=temp1 filetype=sas design = jackknife; weight rakedw0; jackwgts rakedw1--rakedw80 / adjjack=1; model ae13 = ae14 srsex; test waldchi adjwaldf; subgroup srsex; levels 2; run;
Number of observations read : 55428 Weighted count: 23847415
Observations used in the analysis : 32538 Weighted count: 13783845
Denominator degrees of freedom : 80
Maximum number of estimable parameters for the model is 3
Weighted mean response is 2.188590
Multiple R-Square for the dependent variable AE13: 0.259603
Variance Estimation Method: Replicate Weight Jackknife
Working Correlations: Independent
Link Function: Identity
Response variable AE13: AE13
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Independent P-value
Variables and Beta T-Test
Effects Coeff. SE Beta T-Test B=0 B=0
----------------------------------------------------------------------
Intercept 1.61 0.01 116.51 0.0000
AE14 0.32 0.01 24.90 0.0000
SRSEX
MALE 0.52 0.03 19.77 0.0000
FEMALE 0.00 0.00 . .
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Contrast Degrees P-value P-value
of Adj Wald Wald
Freedom Adj Wald F F Wald ChiSq ChiSq
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OVERALL MODEL 3 9802.58 0.0000 30161.79 0.0000
MODEL MINUS
INTERCEPT 2 522.32 0.0000 1057.86 0.0000
INTERCEPT . . . . .
AE14 1 619.78 0.0000 619.78 0.0000
SRSEX 1 390.70 0.0000 390.70 0.0000
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