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The estimation of approximate sample size requirements necessary for clinical and epidemiological studies in vision sciences

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Goodall, E. A., Moore, Johnny and Moore, Tara (2009) The estimation of approximate sample size requirements necessary for clinical and epidemiological studies in vision sciences. EYE, 23 (7). pp. 1589-1597. [Journal article]

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DOI: 10.1038/eye.2009.105

Abstract

Purpose The aim of this paper is to provide an overview of sample size estimations for the most frequent type of group studies that result in continuous, binary and ordered categorical outcomes. Methods The theory behind power and sample size calculations is explained using the basic probability concepts that underpin the most frequently used statistical significance tests. Results Simple formulae and tables are presented for the estimation of sample sizes necessary for efficient and effective clinical and epidemiological trials. These may be used without recourse to sophisticated and complex computer software packages. Mathematical complexity is kept to a minimum. Examples and applications from the vision sciences are specifically highlighted. Conclusions The paper highlights, with practical examples, the concepts and computations necessary to make sample size estimations accessible to all eye professionals involved in research, diagnostic and statutory work. Eye (2009) 23, 1589-1597; doi:10.1038/eye.2009.105;published online 15 May 2009

Item Type:Journal article
Faculties and Schools:Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Biomedical Sciences
Research Institutes and Groups:Biomedical Sciences Research Institute
Biomedical Sciences Research Institute > Vision
ID Code:3463
Deposited By:Professor Tara Moore
Deposited On:18 Dec 2009 14:49
Last Modified:20 Feb 2014 11:53

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