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

E. A. Goodall; Johnny Moore; Tara Moore

doi:10.1038/eye.2009.105

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

E. A. Goodall, Johnny Moore, Tara Moore

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

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

Original language	English
Pages (from-to)	1589-1597
Journal	EYE
Volume	23
Issue number	7
DOIs	https://doi.org/10.1038/eye.2009.105
Publication status	Published - 19 Jul 2009

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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",

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AB - 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

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