Dear sir, An adhesiveness dataset was generated for 63 subjects (64 total -1 dropout = 63 final) from a Crossover Design with 2 periods and 2 treatments (Crossover 2x2 ). I intend to estimate a parametric boostraping confidence interval for the difference of the two treatments (T, R) in order to estimate the size of the bias. A more experienced SAS user suggested using PROC SURVEYSELECT to resampling from the final dataset (63 survey subjects). The code suggested by him can be verified below. However, when I run this code I notice that in many replicates generated the treatment sequences (one of the cluster levels) were quite unbalanced (with very different sample sizes) when ideally they would have similar sample sizes. Does anyone have any suggestions on how to modify the code to get less unbalanced treatment sequences? Title Bootstrap analysis;
PROC SURVEYSELECT data=work.ADHESIVENESS method=BALBOOTSTRAP reps=100;
SAMPLINGUNIT Subject;
run;
quit;
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