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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Nature Portfolio
2019
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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) |
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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 |