Ontology highlight
ABSTRACT:
SUBMITTER: Liu G
PROVIDER: S-EPMC5860584 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
Liu Gang G Mukherjee Bhramar B Lee Seunggeun S Lee Alice W AW Wu Anna H AH Bandera Elisa V EV Jensen Allan A Rossing Mary Anne MA Moysich Kirsten B KB Chang-Claude Jenny J Doherty Jennifer A JA Gentry-Maharaj Aleksandra A Kiemeney Lambertus L Gayther Simon A SA Modugno Francesmary F Massuger Leon L Goode Ellen L EL Fridley Brooke L BL Terry Kathryn L KL Cramer Daniel W DW Ramus Susan J SJ Anton-Culver Hoda H Ziogas Argyrios A Tyrer Jonathan P JP Schildkraut Joellen M JM Kjaer Susanne K SK Webb Penelope M PM Ness Roberta B RB Menon Usha U Berchuck Andrew A Pharoah Paul D PD Risch Harvey H Pearce Celeste Leigh CL
American journal of epidemiology 20180201 2
There have been recent proposals advocating the use of additive gene-environment interaction instead of the widely used multiplicative scale, as a more relevant public health measure. Using gene-environment independence enhances statistical power for testing multiplicative interaction in case-control studies. However, under departure from this assumption, substantial bias in the estimates and inflated type I error in the corresponding tests can occur. In this paper, we extend the empirical Bayes ...[more]