Article,

Choosing statistical tests: part 12 of a series on evaluation of scientific publications.

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Deutsches Ärzteblatt international, 107 (19): 343-8 (May 2010)20532129<m:linebreak></m:linebreak> <m:linebreak></m:linebreak>JID: 101475967; OID: NLM: PMC2881615; 2009/10/14 received; 2010/02/22 accepted; 2010/05/14 epublish; ppublish;<m:linebreak></m:linebreak> <m:linebreak></m:linebreak>Anàlisi de dades.
DOI: 10.3238/arztebl.2010.0343

Abstract

BACKGROUND: The interpretation of scientific articles often requires an understanding of the methods of inferential statistics. This article informs the reader about frequently used statistical tests and their correct application. METHODS: The most commonly used statistical tests were identified through a selective literature search on the methodology of medical research publications. These tests are discussed in this article, along with a selection of other standard methods of inferential statistics. RESULTS AND CONCLUSIONS: Readers who are acquainted not just with descriptive methods, but also with Pearson's chi-square test, Fisher's exact test, and Student's t test will be able to interpret a large proportion of medical research articles. Criteria are presented for choosing the proper statistical test to be used out of the most frequently applied tests. An algorithm and a table are provided to facilitate the selection of the appropriate test.

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