Open AccessSoftware Application Profile: SUMnlmr, an R package that facilitates flexible and reproducible non-linear Mendelian randomization analyses
Author(s) -
Amy M. Mason,
Stephen Burgess
Publication year - 2022
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyac150
Subject(s) - mendelian randomization , r package , computer science , linear model , software , outcome (game theory) , generalized linear mixed model , data mining , statistics , mathematics , programming language , machine learning , biochemistry , chemistry , mathematical economics , genetic variants , genotype , gene