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3 Jun 2024: Search. Causal Inference with Observational Data: Common Designs and Statistical Methods (2023). Course description. Observational studies are non-interventional empirical investigations of causal effects and are playing an increasingly vital role

3 Jun 2024: Search. Confounder Selection. We propose a systematic way to select confounders. Confounder selection: Objectives and approaches. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them.

3 Jun 2024: Search. MR Data Challenge 2019. The role of lipoprotein subfractions in coronary artery disease. Abstract. This report entered the 2019 MR Data Challenge and contains reproducible R code for our analysis. Date. 2019-07-19. Event. Mendelian

3 Jun 2024: Search. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Debbie Lawlor, Qingyuan Zhao, Nuala Sheehan, John Thompson, George Davey Smith.

3 Jun 2024: Search. Randomized Experiment. A unified analysis of regression adjustment in randomized experiments. Regression adjustment is broadly applied in randomized trials under the premise that it usually improves the precision of a treatment effect

3 Jun 2024: Search. Effect Modification. Selecting and ranking individualized treatment rules with unmeasured confounding. Optimal individualized treatment rules try to assign the best treatment to every individual, but it may be very sensitive to unmeasured

3 Jun 2024: Search. Profile-likelihood Bayesian model averaging for two-sample summary data Mendelian randomization in the presence of horizontal pleiotropy. Chin Yang Shapland, Qingyuan Zhao, Jack Bowden. February 2020Type. Publication. Statistics in Medicine.

3 Jun 2024: Search. The statistics of summary-data Mendelian randomization. Abstract. Invited talk giving an overview of my research on summary-data Mendelian randomization. Date. 2019-07-17. Event. Mendelian Randomization Conference, 2019. Location. MRC

3 Jun 2024: Search. What is a randomization test? Yao Zhang, Qingyuan Zhao. March 2022Abstract. The meaning of randomization tests has become obscure in statistics education and practice over the last century. This article makes a fresh attempt at rectifying

3 Jun 2024: Search. Mendelian randomization. Eleanor Sanderson, M. Maria Glymour, Michael V. Holmes, Hyunseung Kang, Jean Morrison, Marcus R. Munafò, Tom Palmer, C. Mary Schooling, Chris Wallace, Qingyuan Zhao, George Davey Smith. February 2022Abstract.

3 Jun 2024: Search. Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization. Qingyuan Zhao, Yang Chen, Jingshu Wang, Dylan Small. April 2018Abstract. We extend the MR-RAPS method in our previous paper

3 Jun 2024: Search. Bhaswar Bhattarcharya. Latest. Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. A fun model to explain the surging popularity of Mendelian randomization. 2021-03-23 2 min read. I was preparing for my talk in EPFL’s statistics seminar today and discovered an interesting model. As many people know, the popularity of

3 Jun 2024: Search. Mendelian-Randomization. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. A new Bayesian full-information method for life-course Mendelian randomization. By combining causal graphs and

3 Jun 2024: Search. Anton Rask Lundborg. Latest. Confounder selection: Objectives and approaches. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. George Davey Smith. Latest. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Mendelian randomization: Old and new insights. Abstract. Mendelian randomization (MR) is a method for causal inference that utilizes the natural experiment in genetic inheritance. The idea of MR can be traced back to the dawn of modern

3 Jun 2024: Search. Instrumental-Variables. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. A new Bayesian full-information method for life-course Mendelian randomization. By combining causal graphs and

3 Jun 2024: Search. Marcus R. Munafò. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Sensitivity Analysis with the $R2$-calculus. Tobias Freidling, Qingyuan Zhao. January 2023R$-sensitivity contours for the lower end of the estimated partially identified region. Abstract. Causal inference necessarily relies upon untestable