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The Importance of Sensitivity Analyses for the MR Steiger Approach.

作者信息

Lutz Sharon M, Voorhies Kirsten, Hokanson John E, Vansteelandt Stijn, Lange Christoph

机构信息

Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

出版信息

Genet Epidemiol. 2025 Oct;49(7):e70018. doi: 10.1002/gepi.70018.

Abstract
摘要

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本文引用的文献

1
Tobacco control in China.
Lancet Public Health. 2023 Dec;8(12):e1006-e1015. doi: 10.1016/S2468-2667(23)00242-6.
2
Sensitivity analyses gain relevance by fixing parameters observable during the empirical analyses.
Genet Epidemiol. 2023 Sep;47(6):461-462. doi: 10.1002/gepi.22530. Epub 2023 Jul 7.
3
Selection bias when inferring the effect direction in Mendelian randomization.
Genet Epidemiol. 2022 Jul;46(5-6):341-343. doi: 10.1002/gepi.22452. Epub 2022 May 2.
4
The influence of unmeasured confounding on the MR Steiger approach.
Genet Epidemiol. 2022 Mar;46(2):139-141. doi: 10.1002/gepi.22442. Epub 2022 Feb 16.
5
Caution against examining the role of reverse causality in Mendelian Randomization.
Genet Epidemiol. 2021 Jul;45(5):445-454. doi: 10.1002/gepi.22385. Epub 2021 May 19.
6
Association of Body Mass Index With Blood Pressure Among 1.7 Million Chinese Adults.
JAMA Netw Open. 2018 Aug 3;1(4):e181271. doi: 10.1001/jamanetworkopen.2018.1271.
8
Orienting the causal relationship between imprecisely measured traits using GWAS summary data.
PLoS Genet. 2017 Nov 17;13(11):e1007081. doi: 10.1371/journal.pgen.1007081. eCollection 2017 Nov.

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