Sample size to test for interaction between a specific exposure and a second risk factor in a pair-matched case-control study.

Published

Journal Article

We discuss a sample size calculation for a pair-matched case-control study to test for interaction between a specific exposure and a second risk factor. The second risk factor could be either binary or continuous. An algorithm for the calculation of sample size is suggested which is based on a logistic regression model that relates the logarithm of the disease-exposure odds ratio to the second risk factor. This problem is motivated by a study comparing the prevalence of GP-IIIa Pl(A2) polymorphism (the exposure) in individuals with and without myocardial infarction (case-control). One of the hypotheses in this study is whether or not there is an interaction between the prevalence of GP-IIIa Pl(A2) polymorphism and a second risk factor such as smoking status and homocysteine level. We introduce the algorithm in detail with several numerical examples.

Full Text

Cited Authors

  • Qiu, P; Moeschberger, ML; Cooke, GE; Goldschmidt-Clermont, PJ

Published Date

  • April 2000

Published In

Volume / Issue

  • 19 / 7

Start / End Page

  • 923 - 935

PubMed ID

  • 10750060

Pubmed Central ID

  • 10750060

Electronic International Standard Serial Number (EISSN)

  • 1097-0258

International Standard Serial Number (ISSN)

  • 0277-6715

Digital Object Identifier (DOI)

  • 10.1002/(sici)1097-0258(20000415)19:7<923::aid-sim341>3.0.co;2-o

Language

  • eng