Mendelian randomization using semiparametric linear transformation models.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8449
Abstract: Mendelian randomization (MR) uses genetic information as an instrumental variable (IV) to estimate the causal effect of an exposure of interest on an outcome in the presence of unknown confounding. We are interested in the… read more here.
Keywords: using semiparametric; semiparametric linear; linear transformation; mendelian randomization ... See more keywords
Semiparametric linear transformation models for indirectly observed outcomes.
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DOI: 10.1002/sim.8903
Abstract: We propose a regression framework to analyze outcomes that are indirectly observed via one or multiple proxies. Semiparametric transformation models, including Cox proportional hazards regression, turn out to be well suited to model the association… read more here.
Keywords: indirectly observed; semiparametric linear; linear transformation; multiple proxies ... See more keywords