Literature DB >> 12732691

Sample size estimation: how many individuals should be studied?

John Eng1.   

Abstract

The number of individuals to include in a research study, the sample size of the study, is an important consideration in the design of many clinical studies. This article reviews the basic factors that determine an appropriate sample size and provides methods for its calculation in some simple, yet common, cases. Sample size is closely tied to statistical power, which is the ability of a study to enable detection of a statistically significant difference when there truly is one. A trade-off exists between a feasible sample size and adequate statistical power. Strategies for reducing the necessary sample size while maintaining a reasonable power will also be discussed. Copyright RSNA, 2003

Mesh:

Year:  2003        PMID: 12732691     DOI: 10.1148/radiol.2272012051

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  169 in total

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7.  Types of study in medical research: part 3 of a series on evaluation of scientific publications.

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Review 8.  Study design in medical research: part 2 of a series on the evaluation of scientific publications.

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Journal:  Dtsch Arztebl Int       Date:  2009-03-13       Impact factor: 5.594

9.  Comparison Between Pre-Exhaustion and Traditional Exercise Order on Muscle Activation and Performance in Trained Men.

Authors:  Enrico Gori Soares; Lee E Brown; Willy Andrade Gomes; Daniel Alves Corrêa; Érica Paes Serpa; Josinaldo Jarbas da Silva; Guanis de Barros Vilela Junior; Gustavo Zorzi Fioravanti; Marcelo Saldanha Aoki; Charles Ricardo Lopes; Paulo Henrique Marchetti
Journal:  J Sports Sci Med       Date:  2016-02-23       Impact factor: 2.988

10.  Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results.

Authors:  Augustin Lecler; C Bouzad; R Deschamps; F Maizeroi; J C Sadik; A Gueguen; O Gout; H Picard; J Savatovsky
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