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22 Jul 2024: Search. Mendelian randomization: A tutorial. Abstract. Tutorial talk for the theory, methods, and practice of Mendelian randomization. Date. 2019-07-12. Event. Causal Inference Summer Institute 2019. Location. Rutgers University, School of Public

22 Jul 2024: Search. COVID-19 (project page). 2020-07-24. Publications. Small Data, Big Time—A retrospect of the first weeks of COVID-19. To be read before The Royal Statistical Society at the Society’s 2021 annual conference held in Manchester on Wednesday,

22 Jul 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.

22 Jul 2024: Search. What is a randomization test? Date. 2022-03-23 2:00 PM — 3:00 PM. Event. Statistics Seminar. Location. University of Toronto. 2024. Powered by the Academic theme forCite.

22 Jul 2024: Search. Selection bias in 2020. Abstract. This talk will examine the selection bias that occurred in studying some most contentious problems in 2020. In the first case study, we will look at the estimation of the growth rate and incubation period of

22 Jul 2024: Search. Almost exact Mendelian randomization. Date. 2023-04-20 10:00 AM — 10:20 AM. European Causal Inference Meeting. Location. Oslo, Norway. 2024. Powered by the Academic theme forCite.

22 Jul 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

22 Jul 2024: Search. Causal Inference (Part III, Michaelmas 2023). 2023-10-05. This is a 16-lecture course on causal inference, the statistical science of drawing causal conclusions from experimental and non-experimental data. [Updated: <2023-11-23 Thu>].

22 Jul 2024: Search. Fisher, Statistics, and Randomization. Abstract. One of Fisher’s most important scientific contributions is the paradigm of randomized experiments. I will try to trace the origin of this idea and highlight how it is rooted in Fisher’s

22 Jul 2024: Search. Using sparsity to overcome unmeasured confounding: Two examples. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another