Simultaneous tests of many hypotheses in exploratory research

William M. Grove, Nancy C. Andreasen

Research output: Contribution to journalArticlepeer-review

291 Scopus citations

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 particular investigation, rather than arbitrary use of the.05 level, is also discussed.

Original languageEnglish (US)
Pages (from-to)3-8
Number of pages6
JournalJournal of Nervous and Mental Disease
Volume170
Issue number1
DOIs
StatePublished - Jan 1982

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