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3 Jun 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.

3 Jun 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.

3 Jun 2024: Search. Reliable Inference for Precision Medicine. Abstract. Two central objectives of individualized treatment are precision and optimality. A third objective is robustness, and this talk aims to explore what could happen if we account for

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. Macros for graph separations. 2024-04-29 1 min read. In a recent paper by Richard Guo and me, we proposed a systematic way to select confounders by eliciting expert opinion. We invented some new notation to distinguish some different types

3 Jun 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

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. 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,

3 Jun 2024: Search. The randomization principle in causal inference: A modern look at some old ideas. Abstract. Randomization is a fundamental principle in causal inference and was first proposed by R A Fisher about a century ago. Although randomization has now

3 Jun 2024: Search. Two High-Profile Examples of Selection Bias. Abstract. This talk will examine the selection bias that occurred in studying some most contentious problems. In the first case study, we will look at the estimation of the growth rate and