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Publikováno v:
Journal of Statistical Planning and Inference. 141:3084-3093
This work focuses on the estimation of distribution functions with incomplete data, where the variable of interest Y has ignorable missingness but the covariate X is always observed. When X is high dimensional, parametric approaches to incorporate X
Autor:
Dean Follmann, Michael A. Proschan
Publikováno v:
Journal of Statistical Planning and Inference. 39:1-17
Subjects in clinical trials are frequently randomized within blocks to ensure balance between treatment groups during the accrual period. Often, the block sizes themselves are also randomly selected. If the trial is unblinded and the block size known