The evolution of mendelian randomization for investigating drug effects. by Dipender Gill, Stephen Burgess

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Incorporating biological and clinical insights into variant choice for Mendelian randomisation: examples and principles by Stephen Burgess, Héléne Toinét Cronjé

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Appraising the causal role of smoking in multiple diseases: A systematic review and meta-analysis of Mendelian randomization studies by Susanna C. Larsson, Stephen Burgess

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Treatment of severe covid-19 with interleukin 6 receptor inhibition by Stephen Burgess, Dipender Gill, Skanda Rajasundaram

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Glucagon‐Like Peptide‐1 Receptor Agonism and Suicide Risk: Evidence From Mendelian Randomization by Sizheng Steven Zhao, Stephen Burgess, Dipender Gill

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Serum magnesium levels and risk of coronary artery disease: Mendelian randomisation study by Susanna C. Larsson, Stephen Burgess, Karl Michaëlsson

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MR-SPLIT: A novel method to address selection and weak instrument bias in one-sample Mendelian randomization studies. by Ruxin Shi, Ling Wang, Stephen Burgess, Yuehua Cui

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First release of Mendelian randomisation book in Chinese by Stephen Burgess, Shan Luo, Guoyue Lv, Lanlan Chen

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Exploring business intelligence and its depth of maturity in Thai SMEs by Waranpong Boonsiritomachai, G. Michael McGrath, Stephen Burgess

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A data-adaptive method for investigating effect heterogeneity with high-dimensional covariates in Mendelian randomization by Haodong Tian, Brian D. M. Tom, Stephen Burgess

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MVMRmode: Introducing an R package for plurality valid estimators for multivariable Mendelian randomisation by Benjamin Woolf, Dipender Gill, Andrew J. Grant, Stephen Burgess

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Additive Effects of Genetic Interleukin‐6 Signaling Downregulation and Low‐Density Lipoprotein Cholesterol Lowering on Cardiovascular Disease: A 2×2 Factorial Mendelian Randomizati... by Marios K. Georgakis, Rainer Malik, Stephen Burgess, Martin Dichgans

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Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization by Verena Zuber, Johanna Maria Colijn, Caroline Klaver, Stephen Burgess

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MVMRmode: Introducing an R package for plurality valid estimators for multivariable Mendelian randomisation. by Benjamin Woolf, Dipender Gill, Andrew J Grant, Stephen Burgess

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Relaxing parametric assumptions for non-linear Mendelian randomization using a doubly-ranked stratification method. by Haodong Tian, Amy M Mason, Cunhao Liu, Stephen Burgess

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l-carnitine, a friend or foe for cardiovascular disease? A Mendelian randomization study by Jie V. Zhao, Stephen Burgess, Bohan Fan, C. Mary Schooling

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Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates. by Jessica M B Rees, Angela M Wood, Frank Dudbridge, Stephen Burgess

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Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity. by Andrew J Grant, Dipender Gill, Paul D W Kirk, Stephen Burgess

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Vitamin D, chronic pain, and depression: linear and non-linear Mendelian randomization analyses by Emily Bassett, Eva Gjekmarkaj, Amy M. Mason, Sizheng Steven Zhao, Stephen Burgess

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Genetically predicted cortisol levels and risk of venous thromboembolism. by Elias Allara, Wei-Hsuan Lee, Stephen Burgess, INVENT consortium, Susanna C Larsson

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