About MeasuringHealth

Haris · ‎03-09-2019

Generically speaking, SAS takes care of the imbalance for you. But, if you give us the research question you are trying to test and more details on your design you may get useful input. For example, do you know that Diagnosis is not used in the model structure of this GLIMMIX model outside of distinguishing among IDs across different diagnoses? Your model has a g-matrix with N*N dimensions. Diagnosis is not part of your model and, therefore, your balancing question is not relevant.

MeasuringHealth · ‎02-23-2019

Thank you very much, @FreelanceReinh!! I should have called upon you sooner. For anyone that may benefit from seeing it, here is my successful code (built by using @FreelanceReinh's suggestion): /* ----------------------------------------------------------- */ /* Bootstrapping the Standardized Response Mean (SRM) */ /* ----------------------------------------------------------- */ /*--- Bootstrapping the samples ---*/ SASFILE SEVERITY load; /* 1 */ PROC SURVEYSELECT DATA=SEVERITY out=outboot /* 2 */ SEED=1 /* 3 */ METHOD=urs /* 4 */ SAMPRATE=1 /* 5 */ OUTHITS /* 6 */ rep=1000; /* 7 */ RUN; SASFILE SEVERITY close; /* 8 */ /*--- Compute means & standard deviations from bootstrap samples ---*/ PROC MEANS DATA=outboot noprint; BY Replicate; VAR GASIchange; OUTPUT out=preSRM mean(GASIchange)=mean std(GASIchange)=std; RUN; /*--- Perform SRM calculation on bootstrapped statistics ---*/ DATA bootSRM; SET preSRM; bootSRM=DIVIDE(mean,std); RUN; /*--- Compute 95% bootstrap confidence interval ---*/ PROC UNIVARIATE DATA=bootSRM; VAR bootSRM; HISTOGRAM bootSRM; OUTPUT out=Pctl pctlpre=CI95_ pctlpts=2.5 97.5 pctlname=Lower Upper; RUN; Best, MeasuringHealth

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Unbalanced nested random effects in PROC GLIMMIX

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Re: How do I Bootstrap a Custom-Made Statistic??

How do I Bootstrap a Custom-Made Statistic??

Re: How do I Bootstrap a Custom-Made Statistic??

Re: Unbalanced nested random effects in PROC GLIMMIX

Re: How do I Bootstrap a Custom-Made Statistic??