Calculating sample size bounds for logistic regression

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...

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Veröffentlicht in:Preventive veterinary medicine 2002-06, Vol.54 (2), p.105-111
Hauptverfasser: Broll, Susanne, Glaser, Sabine, Kreienbrock, Lothar
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0167-5877
1873-1716
DOI:10.1016/S0167-5877(02)00012-0