Calculating sample size bounds for logistic regression

被引:23
作者
Broll, S
Glaser, S
Kreienbrock, L
机构
[1] WHO, Collaborat Ctr Res & Training Vet Publ Hlth, Tierarztlichen Hsch Hannover, D-30559 Hannover, Germany
[2] Tierarztlichen Hsch Hannover, Inst Biometry Epidemiol & Informat Proc, D-30559 Hannover, Germany
关键词
logistic regression; sample size calculation; risk factor; odds ratio;
D O I
10.1016/S0167-5877(02)00012-0
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 [兽医学];
摘要
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. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:105 / 111
页数:7
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