The estimation of approximate sample size requirements necessary for clinical and epidemiological studies in vision sciences.
OBJECTIVE
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.
Goodall
E A
EA
Department of Statistics and Operational Research, School of Mathematics and Physics, The Queen's University of Belfast, Belfast, Northern Ireland, UK. edwardagoodall@hotmail.com
Moore
J
J
Moore
T
T
D003627:Data Interpretation, Statistical; D016021:Epidemiologic Studies; D006801:Humans; D009885:Ophthalmology; D012107:Research Design; D018401:Sample Size