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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Autores principales: Guanghao Qi, Nilanjan Chatterjee
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://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
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