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Statistics in Medicine|June 5, 2013
Identifying the odds ratio estimated by a two-stage instrumental variable analysis with a logistic regression modelStephen Burgess, International Journal of Epidemiology|March 11, 2014
Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcomeStephen BurgessHuman Heredity|August 31, 2023
Violation of the Constant Genetic Effect Assumption Can Result in Biased Estimates for Non-Linear Mendelian RandomizationStephen BurgessPlos Medicine|February 3, 2022
The evolution of mendelian randomization for investigating drug effectsDipender Gill, Stephen BurgessAustralian Health Review : a Publication of the Australian Hospital Association|April 20, 2012
Judging a patient's decision to seek emergency healthcare: clues for managing increasing patient demandAmee Morgans, Stephen BurgessAJE Advances : Research in Epidemiology|October 1, 2025
The role of estimation in Mendelian randomization: should Mendelian randomization investigations provide estimates?Benjamin Woolf, Stephen BurgessInternational Journal of Epidemiology|January 20, 2023
Estimation of time-varying causal effects with multivariable Mendelian randomization: some cautionary notesHaodong Tian, Stephen BurgessCurrent Opinion in Endocrinology, Diabetes, and Obesity|February 25, 2016
Mendelian randomization to assess causal effects of blood lipids on coronary heart disease: lessons from the past and applications to the futureStephen Burgess, Eric HarshfieldInternational Journal of Epidemiology|October 17, 2018
Contextualizing selection bias in Mendelian randomization: how bad is it likely to be?Apostolos Gkatzionis, Stephen BurgessBMC Medicine|December 15, 2021
Causal role of high body mass index in multiple chronic diseases: a systematic review and meta-analysis of Mendelian randomization studiesSusanna C Larsson, Stephen BurgessPageof 40