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Hello, I am running a few simulations for clinical trial anlysis. I want some help regarding the following. We know trhat as the sample size increases, the variance should decrease, but I am getting some unexpected results. SO I ran a code (shown below) to check the validity of this. large<-array(1,c(1000,1000)) small<-array(1,c(100,1000)) for(i in

Hello, I need help in performing a Van_der_Waerden normal scores test in R. I have two arrays of scores(final on therapy scores from drug and placebo) and want to use the normal scores procdeure to test for significance. (observations are unequal in number - due to dropouts). Could you please help me out with the coding or let me know if there is a package that can be used (for example,

Hello, Thanks everyone who replied to my earlier Q. I ran into a problem. I am analysng multicenter clinical trials. The model is Y=treatment + center + treatment*center. I have the effect sizes and the patient distributions for each scenario in the simulation. Can someone tell me how to compute the power in this case? May be by using a F-test or something like that. Thank you very much.

Hello, I need some help in performing a Van_der_Waerden normal scores test in R. I have two arrays of scores(final on therapy scores from drug and placebo) and want to use the normal scores procdeure to test for significance. (observations are unequal in number - due to dropouts). Thanks in advance Regards ~S