Calculating sample size bounds for logistic regression

Prev Vet Med. 2002 Jun 25;54(2):105-11. doi: 10.1016/s0167-5877(02)00012-0.

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.

MeSH terms

  • Animals
  • Cross-Sectional Studies
  • Epidemiologic Methods / veterinary*
  • Female
  • Humans
  • Logistic Models
  • Odds Ratio
  • Pregnancy
  • Pregnancy Complications, Infectious / epidemiology
  • Pregnancy Complications, Infectious / immunology
  • Reproducibility of Results
  • Risk Factors
  • Sample Size
  • Seroepidemiologic Studies
  • Toxoplasma / immunology
  • Toxoplasmosis / epidemiology
  • Toxoplasmosis / immunology