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The example below shows a regression for just the males in the data set (srsex = 1). We have bolded the note in the output that indicates the subpopulation used. The subgroup and levels statements are used to indicate that racehpra is a categorical variable with four levels. Beginning with SUDAAN 9, you can use the class statement instead of these two statements.
In this example, we have two conditions on the subpopn statement. Hence, the regression results apply only to those cases where both srsex = 1 and racehpra = 2 is true.proc regress data=temp1 filetype=sas design = jackknife; weight rakedw0; jackwgts rakedw1--rakedw80 / adjjack=1; model ae13 = ae14 racehpra; subpopn srsex = 1; subgroup racehpra; levels 4; run;Number of observations read : 55428 Weighted count: 23847415 Observations in subpopulation : 23002 Weighted count: 11631728 Observations used in the analysis : 3744 Weighted count: 2522055 Denominator degrees of freedom : 80 Maximum number of estimable parameters for the model is 5 Weighted mean response is 3.133033 Multiple R-Square for the dependent variable AE13: 0.231226 Variance Estimation Method: Replicate Weight Jackknife Working Correlations: Independent Link Function: Identity Response variable AE13: Number of drinks on the days drinking alcohol For Subpopulation: SRSEX = 1 ---------------------------------------------------------------------- Independent P-value Variables and Beta T-Test Effects Coeff. SE Beta T-Test B=0 B=0 ---------------------------------------------------------------------- Intercept 1.71 0.07 24.92 0.0000 Number of times having 5 or more drinks in past month 0.38 0.04 9.67 0.0000 Race - UCLA CHPR Definition LATINO 1.29 0.11 12.31 0.0000 PACIFIC ISLANDER 0.84 0.59 1.44 0.1543 AIAN 0.54 0.24 2.20 0.0307 ASIAN 0.00 0.00 . . ---------------------------------------------------------------------- ------------------------------------------------------- Contrast Degrees of P-value Freedom Wald F Wald F ------------------------------------------------------- OVERALL MODEL 5 618.86 0.0000 MODEL MINUS INTERCEPT 4 63.04 0.0000 INTERCEPT . . . AE14 1 93.52 0.0000 RACEHPRA 3 50.72 0.0000 -------------------------------------------------------
proc regress data=temp1 filetype=sas design = jackknife; weight rakedw0; jackwgts rakedw1--rakedw80 / adjjack=1; model ae13 = ae14 ; subpopn srsex = 1 and racehpra = 2; run;Number of observations read : 55428 Weighted count: 23847415 Observations in subpopulation : 101 Weighted count: 30282 Observations used in the analysis : 69 Weighted count: 17998 Denominator degrees of freedom : 80 Maximum number of estimable parameters for the model is 2 Weighted mean response is 3.607368 Multiple R-Square for the dependent variable AE13: 0.068544 Variance Estimation Method: Replicate Weight Jackknife Working Correlations: Independent Link Function: Identity Response variable AE13: Number of drinks on the days drinking alcohol For Subpopulation: SRSEX = 1 AND RACEHPRA = 2 ---------------------------------------------------------------------- Independent P-value Variables and Beta T-Test Effects Coeff. SE Beta T-Test B=0 B=0 ---------------------------------------------------------------------- Intercept 3.05 0.63 4.86 0.0000 Number of times having 5 or more drinks in past month 0.20 0.13 1.60 0.1145 ---------------------------------------------------------------------- ------------------------------------------------------- Contrast Degrees of P-value Freedom Wald F Wald F ------------------------------------------------------- OVERALL MODEL 2 19.02 0.0000 MODEL MINUS INTERCEPT 1 2.55 0.1145 INTERCEPT 1 23.64 0.0000 AE14 1 2.55 0.1145 -------------------------------------------------------
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