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Cited by 375

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Simultaneous Tests of Many Hypotheses in Exploratory Research

GROVE, WILLIAM M., ANDREASEN, NANCY C.·1982·The Journal of Nervous and Mental Disease

Abstract

Many traditional statistical approaches to data analysis assume a relatively simple situation in which the investigator is testing a single hypothesis. Most research in psychiatry, on the other hand, is exploratory in nature and involves testing many hypotheses. Exploratory research presents special problems in data analysis, which are discussed in this overview. Special statistical approaches that are available to reduce error risk, such as the Bonferroni inequality, are described. The importance of selecting confidence levels appropriate to a particularly investigation, rather than arbitrary use of the .05 level, is also discussed.

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Metadata

Authors
GROVE, W. M., & ANDREASEN, N. C.
Venue
The Journal of Nervous and Mental Disease
Published
1982-01
Volume
170
Issue
1
Pages
3-8
ISSN
0022-3018 (ISSN-L)
OpenAlex
W2090378580
Cited by
375
References
0
FWCI
17.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Simultaneous Tests of Many Hypotheses in Exploratory Research. https://app.cochat.ai/papers/10.1097/00005053-198201000-00002
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GROVE, W. M., & ANDREASEN, N. C. (1982). Simultaneous Tests of Many Hypotheses in Exploratory Research. The Journal of Nervous and Mental Disease. https://doi.org/10.1097/00005053-198201000-00002

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.