Abstract:
: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.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Qiu P,Moeschberger ML,Cooke GE,Goldschmidt-Clermont PJdoi
10.1002/(sici)1097-0258(20000415)19:7<923::aid-simsubject
Has Abstractpub_date
2000-04-15 00:00:00pages
923-35issue
7eissn
0277-6715issn
1097-0258pii
10.1002/(SICI)1097-0258(20000415)19:7<923::AID-SIMjournal_volume
19pub_type
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