Chuang-Stein C, Shih W J
Research Support Biostatistics Unit, Upjohn Company, Kalamazoo, MI 49001.
Stat Med. 1991 Mar;10(3):323-8. doi: 10.1002/sim.4780100304.
We propose a method to incorporate all types of dropouts in the evaluation of an intervention based on binary data from a titration study. The proposed procedure does not require that the dropouts occur randomly, but instead examines each outcome individually. Our procedure has a built-in penalty factor in the estimation process that determines the amount of penalty on efficacy parameters due to efficacy-related dropouts. We also propose a method to estimate the variances associated with the estimates. The results have use in exploration of a potential dose-response relationship or to answer questions pertinent for phase III studies. We use data from a phase III antihypertension study to illustrate the procedure.
