Author(s): Shaffer JP
Reviews the literature on multiple testing, emphasizing conceptual issues and general approaches. Organizing concepts are discussed, including primary hypotheses, closure, hierarchical sets, minimal hypotheses, families, Type 1 error control, power, p-values, adjusted p-values, and closed test procedures. Two method types are discussed in detail: (1) methods based on ordered p-values and (2) comparisons among normally distributed means. Also discussed are tests vs confidence intervals, directional vs nondirectional inference, and robustness. The major challenge in multiple hypothesis testing is to devise methods that incorporate some kind of overall control of Type 1 error while retaining reasonable power for tests of the individual hypothesis. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Referred From: https://psycnet.apa.org/record/1995-19937-001
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