Sample size to test for interaction between a specific exposure and a second risk factor in a pair-matched case-control study.
Stat Med
; 19(7): 923-35, 2000 Apr 15.
Article
in En
| MEDLINE
| ID: mdl-10750060
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.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Algorithms
/
Case-Control Studies
/
Sample Size
Type of study:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Stat Med
Year:
2000
Document type:
Article
Affiliation country:
Estados Unidos