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- W2064353452 abstract "The issue of stratification and its role in patient assignment has generated much discussion, mostly focused on its importance to a study or lack thereof. This report focuses on a much narrower problem: assuming that stratified assignment is desired, how many factors can be accommodated? This problem is investigated for two methods of balanced patient assignments; the first is based on the minimization method of Taves and the second on the commonly used method of stratified assignment. Simulation results show that the former method can accommodate a large number of factors (10-20) without difficulty but that the latter begins to fail if the total number of distinct combination of factor levels is greater than approximately n/2. The two methods are related to a linear discriminant model, which helps to explain the results." @default.
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- W2064353452 date "1993-04-01" @default.
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- W2064353452 title "How many stratification factors are “too many” to use in a randomization plan?" @default.
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- W2064353452 doi "https://doi.org/10.1016/0197-2456(93)90013-4" @default.
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