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Mendelian randomization: The use of genes in instrumental variable analyses
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The many weak instruments problem and Mendelian randomization
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Davies NM, von Hinke Kessler Scholder S, Farbmacher H, Burgess S, Windmeijer F, Davey Smith G. The many weak instruments problem and Mendelian randomization. Stat Med 2015; 34:454-68.
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Use of allele scores as instrumental variables for Mendelian randomization
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Mendelian randomization with invalid instruments: Effect estimation and bias detection through Egger regression
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Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: The role of the I2 statistic
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Bowden J, Del Greco MF, Minelli C, Davey Smith G, Sheehan NA, Thompson JR. Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression the role of the I2 statistic. Int J Epidemiol 2016;45; 1961-74.
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A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization
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Bowden J, Del Greco MF, Minelli C, Davey Smith G, Sheehan N, Thompson J. A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization. Stat Med 2017;36:1783-802.
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MendelianRandomization: An R package for performing Mendelian randomization analyses using summarized data
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Consistent estimation in mendelian randomization with some invalid instruments using a weighted median estimator
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Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol 2016;40:304-14.
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Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
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