Open AccessEstimating Additive Interaction Effect in Stratified Two-Phase Case-Control Design
Author(s) -
Ai Ni,
Jaya M. Satagopan
Publication year - 2019
Publication title -
human heredity
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000502738
Subject(s) - additive model , multiplicative function , interaction , covariate , statistics , mathematics , weighting , imputation (statistics) , additive function , main effect , econometrics , missing data , medicine , mathematical analysis , radiology
There is considerable interest in epidemiology to estimate an additive interaction effect between two risk factors in case-control studies. An additive interaction is defined as the differential reduction in absolute risk associated with one factor between different levels of the other factor. A stratified two-phase case-control design is commonly used in epidemiology to reduce the cost of assembling covariates. It is crucial to obtain valid estimates of the model parameters by accounting for the underlying stratification scheme to obtain accurate and precise estimates of additive interaction effects. The aim of this paper is to examine the properties of different methods for estimating model parameters and additive interaction effects under a stratified two-phase case-control design.