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Analysis of Clinical Trials Using SAS
book

Analysis of Clinical Trials Using SAS

by Alex Dmitrienko, Geert Molenberghs, Christy Chuang-Stein, Walter W. Offen
February 2005
Intermediate to advanced
430 pages
15h 6m
English
SAS Institute
Content preview from Analysis of Clinical Trials Using SAS

Appendix

 

Chapter 1

%MinRisk Macro: Minimum Risk Test for Stratified Binary Data

%macro MinRisk(dataset);/*Inputs:

DATASET = Input data set with event rates observed in each stratum. The input data set must include variables named EVENT1 (number of events of interest in Treatment group 1), EVENT2 (number of events of interest in Treatment group 2), NOEVENT1 (number of non-events in Treatment group 1), NOEVENT2 (number of non-events in Treatment group 2) with one record per stratum.

*/proc iml;      use &dataset;      read all var {event1 noevent1 event2 noevent2} into data;      m=nrow(data);      p=j(m,2,0); n=j(m,2,0);      n[,1]=data[,1]+data[,2];      n[,2]=data[,3]+data[,4];      total=sum(n);      p[,1]=data[,1]/n[,1];      p[,2]=data[,3]/n[,2]; ...

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Publisher Resources

ISBN: 9781590475041