February 2007
Beginner to intermediate
464 pages
16h
English
book
Pharmaceutical Statistics Using SAS
by Ph. D. Alex Dmitrienko, Ph. D. Christy Chuang-Stein, Sr. Ralph B. D'Agostino
Content preview from Pharmaceutical Statistics Using SAS
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12.3. Data Setting and Modeling Framework
Assume that for subject i = 1,...,N in the study a sequence of responses Yij is designed to be measured at occasions j = 1,...,n. The outcomes are grouped into a vector Yi = (Yi1,...,Yin)′. In addition, define a dropout indicator Di for the occasion at which dropout occurs and make the convention that Di = n + 1 for a complete sequence. It is often necessary to split the vector Yi into observed (Yio) and missing (Yim) components respectively. Note that dropout is a particular case of monotone missingness. In order to have a monotone pattern of missingness, there has to exist a permutation of the measurement components such that a measurement earlier in the permuted sequence is observed for at least those ...
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