Eric A. W. Slob

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Methodological Challenges in Mendelian Randomization 2014 Tyler J. VanderWeele
Eric J. Tchetgen Tchetgen
Marilyn C. Cornelis
Peter Kraft
3
+ PDF Chat The GENIUS Approach to Robust Mendelian Randomization Inference 2021 Eric Tchetgen Tchetgen
Baoluo Sun
Stefan Walter
2
+ Genetic markers as instrumental variables 2015 Stephanie von Hinke
George Davey Smith
Debbie A. Lawlor
Carol Propper
Frank Windmeijer
2
+ Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies 2016 Philip Haycock
Stephen Burgess
Kaitlin H. Wade
Jack Bowden
Caroline L. Relton
George Davey Smith
2
+ PDF Chat Confidence Intervals for Causal Effects with Invalid Instruments by Using Two-Stage Hard Thresholding with Voting 2018 Zijian Guo
Hyunseung Kang
Tommaso Cai
Dylan S. Small
2
+ Robust instrumental variable methods using multiple candidate instruments with application to Mendelian randomization 2016 Stephen Burgess
Jack Bowden
Frank Dudbridge
Simon G. Thompson
2
+ PDF Chat Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption 2017 Fernando Pires Hartwig
George Davey Smith
Jack Bowden
2
+ Mendelian randomization as an instrumental variable approach to causal inference 2007 Vanessa Didelez
Nuala A. Sheehan
2
+ PDF Chat Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization 2015 Hyunseung Kang
Anru R. Zhang
Tommaso Cai
Dylan S. Small
2
+ PDF Chat A comparison of robust Mendelian randomization methods using summary data 2020 Eric A. W. Slob
Stephen Burgess
2
+ PDF Chat Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses 2008 Tom Palmer
John R. Thompson
Martin D. Tobin
Nuala A. Sheehan
Paul R. Burton
2
+ PDF Chat Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid 2018 Stephen Burgess
Verena Zuber
Apostolos Gkatzionis
Christopher N. Foley
2
+ Re: Estimation of Bias in Nongenetic Observational Studies Using “Mendelian Triangulation” by Bautista et al. 2007 Duncan C. Thomas
Debbie A. Lawlor
John R. Thompson
2
+ PDF Chat Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators 2013 Brandon L. Pierce
Stephen Burgess
2
+ Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score 2018 Qingyuan Zhao
Jingshu Wang
Gibran Hemani
Jack Bowden
Dylan S. Small
1
+ PDF Chat A Bayesian approach to Mendelian randomization with multiple pleiotropic variants 2018 Carlo Berzuini
Hui Guo
Stephen Burgess
Luisa Bernardinelli
1
+ PDF Chat On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments 2018 Frank Windmeijer
Helmut Farbmacher
Neil M Davies
George Davey Smith
1
+ PDF Chat An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings 2018 Eleanor Sanderson
George Davey Smith
Frank Windmeijer
Jack Bowden
1
+ PDF Chat Semiparametric methods for estimation of a nonlinear exposure‐outcome relationship using instrumental variables with application to Mendelian randomization 2017 James R Staley
Stephen Burgess
1
+ PDF Chat Contextualizing selection bias in Mendelian randomization: how bad is it likely to be? 2018 Apostolos Gkatzionis
Stephen Burgess
1
+ PDF Chat Factorial Mendelian randomization: using genetic variants to assess interactions 2019 Jessica M. B. Rees
Christopher N. Foley
Stephen Burgess
1
+ PDF Chat Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval 2019 Emily A. King
J. Wade Davis
Jacob F. Degner
1
+ PDF Chat Improving the odds of drug development success through human genomics: modelling study 2019 Aroon D. Hingorani
Valerie Kuan
Chris Finan
Felix Alexander KrĂŒger
Anna Gaulton
Sandesh Chopade
Reecha Sofat
Raymond J. MacAllister
John P. Overington
Harry Hemingway
1
+ PDF Chat Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization 2020 Verena Zuber
Johanna M. Colijn
Caroline C. W. Klaver
Stephen Burgess
1
+ PDF Chat Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score 2020 Qingyuan Zhao
Jingshu Wang
Gibran Hemani
Jack Bowden
Dylan S. Small
1
+ PDF Chat MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates 2020 Christopher N. Foley
Amy M. Mason
Paul Kirk
Stephen Burgess
1
+ PDF Chat Mendelian randomization analysis with survival outcomes 2020 Youngjoo Cho
Andréa Rau
Alex P. Reiner
Paul L. Auer
1
+ PDF Chat Mendelian randomisation for mediation analysis: current methods and challenges for implementation 2021 Alice R Carter
Eleanor Sanderson
Gemma Hammerton
Rebecca C. Richmond
George Davey Smith
Jon Heron
Amy E. Taylor
Neil M Davies
Laura D. Howe
1
+ PDF Chat Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization 2022 Fatima Batool
Ashish Patel
Dipender Gill
Stephen Burgess
1
+ PDF Chat Software Application Profile: SUMnlmr, an R package that facilitates flexible and reproducible non-linear Mendelian randomisation analyses 2021 Amy M. Mason
Stephen Burgess
1
+ PDF Chat Estimation of time-varying causal effects with multivariable Mendelian randomization: some cautionary notes 2022 Haodong Tian
Stephen Burgess
1
+ PDF Chat Strategies to investigate and mitigate collider bias in genetic and Mendelian randomization studies of disease progression 2022 Ruth E. Mitchell
April Hartley
Venexia Walker
Apostolos Gkatzionis
James Yarmolinsky
Joshua A. Bell
Amanda H. W. Chong
Lavinia Paternoster
Kate Tilling
George Davey Smith
1
+ PDF Chat Avoiding collider bias in Mendelian randomization when performing stratified analyses 2022 Claudia Coscia
Dipender Gill
Raquel BenĂ­tez
Teresa PĂ©rez
NĂșria Malats
Stephen Burgess
1
+ Polynomial Mendelian randomization reveals non-linear causal effects for obesity-related traits 2022 Jonathan Sulc
Jennifer Sjaarda
ZoltĂĄn Kutalik
1
+ The language of race, ethnicity, and ancestry in human genetic research 2021 Ewan Birney
Michael Inouye
Jennifer Raff
Adam Rutherford
Aylwyn Scally
1
+ Conditional inference in cis-Mendelian randomization using weak genetic factors 2020 Ashish Patel
Dipender Gill
Paul J. Newcombe
Stephen Burgess
1
+ PDF Chat “C‐reactive protein levels and risk of dementia”: Subgroup analyses in Mendelian randomization are likely to be misleading 2022 Stephen Burgess
1
+ PDF Chat Estimation of time-varying causal effects with multivariable Mendelian randomization: some cautionary notes 2023 Haodong Tian
Stephen Burgess
1
+ PDF Chat Strategies to investigate and mitigate collider bias in genetic and Mendelian randomisation studies of disease progression 2023 Ruth E. Mitchell
April Hartley
Venexia Walker
Apostolos Gkatzionis
James Yarmolinsky
Joshua A. Bell
Amanda H. W. Chong
Lavinia Paternoster
Kate Tilling
George Davey Smith
1
+ Data Analysis and Regression: A Second Course in Statistics 1977 Frederick Mosteller
John W. Tukey
1
+ PDF Chat Conditional Inference in <i>Cis</i>-Mendelian Randomization Using Weak Genetic Factors 2023 Ashish Patel
Dipender Gill
Paul J. Newcombe
Stephen Burgess
1
+ A Structural Approach to Selection Bias 2004 Miguel A. HernĂĄn
Sonia HernĂĄndez–Dı́az
James M. Robins
1
+ Jacobi Angles for Simultaneous Diagonalization 1996 J.-F. Cardoso
Antoine Souloumiac
1
+ PDF Chat Use of Mendelian randomisation to assess potential benefit of clinical intervention 2012 Stephen Burgess
Adam S. Butterworth
Anders MĂ€larstig
Simon G. Thompson
1
+ PDF Chat Instrumental Variable Analysis with a Nonlinear Exposure–Outcome Relationship 2014 Stephen Burgess
Neil M Davies
Simon G. Thompson
1
+ PDF Chat Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics 2014 Claudia Giambartolomei
Damjan Vukcevic
Eric E. Schadt
Lude Franke
Aroon D. Hingorani
Chris Wallace
Vincent Plagnol
1
+ PDF Chat A New Algorithm for Complex Non-Orthogonal Joint Diagonalization Based on Shear and Givens Rotations 2014 Ammar Mesloub
Karim Abed‐Meraim
Adel Belouchrani
1
+ COMPUTING EXPONENTIALS OF SKEW-SYMMETRIC MATRICES AND LOGARITHMS OF ORTHOGONAL MATRICES 2002 Jean Gallier
Dongpo Xu
1
+ Illustrating bias due to conditioning on a collider 2009 Stephen R. Cole
Robert W. Platt
Enrique F. Schisterman
Haitao Chu
Daniel Westreich
David J. Richardson
Charles Poole
1
+ Estimation of Bias in Nongenetic Observational Studies Using “Mendelian Triangulation” 2006 Leonelo E. Bautista
Liam Smeeth
Aroon D. Hingorani
Juan P. Casas
1