Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects

Mendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects.

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Auteurs principaux:	Guanghao Qi, Nilanjan Chatterjee
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2019
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/9449f88fcee4464bbb5f9b0d5946bae4
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id	oai:doaj.org-article:9449f88fcee4464bbb5f9b0d5946bae4
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spelling	oai:doaj.org-article:9449f88fcee4464bbb5f9b0d5946bae42021-12-02T14:38:40ZMendelian randomization analysis using mixture models for robust and efficient estimation of causal effects10.1038/s41467-019-09432-22041-1723https://doaj.org/article/9449f88fcee4464bbb5f9b0d5946bae42019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09432-2https://doaj.org/toc/2041-1723Mendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects.Guanghao QiNilanjan ChatterjeeNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Guanghao Qi Nilanjan Chatterjee Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
description	Mendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects.
format	article
author	Guanghao Qi Nilanjan Chatterjee
author_facet	Guanghao Qi Nilanjan Chatterjee
author_sort	Guanghao Qi
title	Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
title_short	Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
title_full	Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
title_fullStr	Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
title_full_unstemmed	Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
title_sort	mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/9449f88fcee4464bbb5f9b0d5946bae4
work_keys_str_mv	AT guanghaoqi mendelianrandomizationanalysisusingmixturemodelsforrobustandefficientestimationofcausaleffects AT nilanjanchatterjee mendelianrandomizationanalysisusingmixturemodelsforrobustandefficientestimationofcausaleffects
_version_	1718390908197535744

Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects

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