Choosing statistical tests: part 12 of a series on evaluation of scientific publications.
J. du Prel, B. Röhrig, G. Hommel, and M. Blettner. 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.
%0 Journal Article
%1 Prel2010
%A du Prel, Jean-Baptist
%A Röhrig, Bernd
%A Hommel, Gerhard
%A Blettner, Maria
%D 2010
%J Deutsches Ärzteblatt international
%K Algorithms BiomedicalResearch BiomedicalResearch:statistics&numericaldata Chi-SquareDistribution DataInterpretation Humans Publications Publications:statistics&numericaldata Statistical
%N 19
%P 343-8
%R 10.3238/arztebl.2010.0343
%T Choosing statistical tests: part 12 of a series on evaluation of scientific publications.
%U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2881615&tool=pmcentrez&rendertype=abstract
%V 107
%X 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.
@article{Prel2010,
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.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {du Prel, Jean-Baptist and Röhrig, Bernd and Hommel, Gerhard and Blettner, Maria},
biburl = {https://www.bibsonomy.org/bibtex/2a3e0eeb5e35d69f25a5f5e8e7430a276/jepcastel},
city = {Institut fur Epidemiologie, Universitat Ulm, Ulm, Germany.},
doi = {10.3238/arztebl.2010.0343},
interhash = {c080dc23be027fbd9d598562ab1ac264},
intrahash = {a3e0eeb5e35d69f25a5f5e8e7430a276},
issn = {1866-0452},
journal = {Deutsches Ärzteblatt international},
keywords = {Algorithms BiomedicalResearch BiomedicalResearch:statistics&numericaldata Chi-SquareDistribution DataInterpretation Humans Publications Publications:statistics&numericaldata Statistical},
month = {5},
note = {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},
number = 19,
pages = {343-8},
pmid = {20532129},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {Choosing statistical tests: part 12 of a series on evaluation of scientific publications.},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2881615&tool=pmcentrez&rendertype=abstract},
volume = 107,
year = 2010
}