Good evening everyone, I am still relatively new to SAS and I wanted to make sure I am correctly implementing and interpreting my code. I am looking at the age (in months) that patients (<=2yo) with cleft palates undergo cleft palate repair and seeing how race, gender, location, income level, and hospital type affects the timing of that repair. This is my code to determine the estimate age of repair by each of those variables (while controlling for one-another). proc surveyreg data=kid.KID_complete;
class race female hosp_region zipinc hosp_locteach;
weight discwt;
where age<=2 and cleftpalateonly=1 and cleftpalaterepair=1;
model agemonth = race female hosp_region zipinc hosp_locteach/ solution;
domain race female hosp_region zipinc hosp_locteach;
Format race racef.;
Format female femalef.;
Format hosp_region regionf.;
Format zipinc zipincf.;
Format hosp_locteach hosp_locteachf.;
ods output
DataSummary=output
DomainSummary=domain
ParameterEstimates = MyParmEst;
run; In the results, for each domain analysis, I get something like this (this is just for the domain race = white children) The SURVEYREG Procedure I:Race=White Domain Regression Analysis for Variable AGEMONTH Domain Summary Number of Observations 2459 Number of Observations in Domain 1480 Number of Observations Not in Domain 979 Sum of Weights in Domain 2639.9 Weighted Mean of AGEMONTH 12.56934 Weighted Sum of AGEMONTH 33182.4 Fit Statistics R-Square 0.0295 Root MSE 5.0756 Denominator DF 2458 Tests of Model Effects Effect Num DF F Value Pr > F Model 9 3.24 0.0006 Intercept 1 787.25 <.0001 RACE 0 . . female 1 0.99 0.3207 HOSP_REGION 3 4.73 0.0027 zipinc 3 3.29 0.0197 HOSP_LOCTEACH 2 0.19 0.8286 Note: The denominator degrees of freedom for the F tests is 2458. Estimated Regression Coefficients Parameter Estimate Standard Error t Value Pr > |t| Intercept 11.718497 0.369853 31.68 <.0001 RACE Asian 0 0 . . RACE Black 0 0 . . RACE Hispanic 0 0 . . RACE Native American 0 0 . . RACE Other 0 0 . . RACE White 0 0 . . female Female 0.3051803 0.30724 0.99 0.3207 female Male 0 0 . . HOSP_REGION Midwest 1.1362171 0.460781 2.47 0.0137 HOSP_REGION Northeast -0.2683534 0.365375 -0.73 0.4627 HOSP_REGION South -0.5941962 0.42009 -1.41 0.1574 HOSP_REGION West 0 0 . . zipinc 25-50th 1.2050844 0.404636 2.98 0.0029 zipinc 51-75th 0.386581 0.373655 1.03 0.301 zipinc <25th 0.7636029 0.409625 1.86 0.0624 zipinc >75th 0 0 . . HOSP_LOCTEACH Rural -0.2140308 1.106108 -0.19 0.8466 HOSP_LOCTEACH Urban non-teaching 0.4966877 0.852428 0.58 0.5602 HOSP_LOCTEACH Urban teaching 0 0 . . Would I correct in interpreting this as: In white children, when controlling for age, gender, location, income, and hospital type, the average age of repair is 11.7months (p<0.0001)?
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