Calculating sample size bounds for logistic regression.

Susanne Broll; Sabine Glaser; Lothar Kreienbrock

doi:10.1016/s0167-5877(02)00012-0

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Calculating sample size bounds for logistic regression.

Susanne Broll·Sabine Glaser·Lothar Kreienbrock

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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.

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Animals Cross-Sectional Studies Epidemiologic Methods Female Humans Logistic Models Odds Ratio Pregnancy Pregnancy Complications, Infectious Reproducibility of Results Risk Factors Sample Size Seroepidemiologic Studies Toxoplasma Toxoplasmosis Journal Article

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Susanne Broll, Sabine Glaser, Lothar Kreienbrock. 2002-06-25. Calculating sample size bounds for logistic regression.. https://doi.org/10.1016/s0167-5877(02)00012-0

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