Open AccessHow to control for confounding by unmeasured genomic variables
Author(s) -
Brian Knaeble
Publication year - 2020
Publication title -
environmental health perspectives. supplements
Language(s) - English
Resource type - Journals
eISSN - 2169-2181
pISSN - 1078-0475
DOI - 10.1289/isee.2020.virtual.p-1251
Subject(s) - confounding , heritability , statistics , set (abstract data type) , selection (genetic algorithm) , causality (physics) , mathematics , econometrics , biology , computer science , genetics , machine learning , programming language , physics , quantum mechanics