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Calculating sample size bounds for logistic regression
Susanne Broll1, Sabine Glaser, Lothar Kreienbrock
1WHO-Collaborating Centre for Research and Training in Veterinary Public Health, School of Veterinary Medicine Hannover, Bünteweg 2, D-30559 Hannover, Germany. susanne.broll@tiho-hannover.de
Abstract:
The calculation of a study's required sample size is one of the most important aspects of the validity of an epidemiological study. Logistic regression often is used in modelling in epidemiology. A simplified method to calculate the sample size for the multiple logistic-regression model was proposed by Hsieh et al. [Stat. Med. 17 (1998) 1623]. The approach for estimating the sample size is described and then applied in the planning of an epidemiological cross-sectional study of the associations of different risk factors with Toxoplasma infection among pregnant women. Although the method demands some additional information which is often difficult to obtain, it is a very useful tool in veterinary epidemiology.