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3 Jun 2024: Search. Small Data, Big Time—A retrospect of the first weeks of COVID-19. Date. 2021-09-08 5:15 PM — 7:15 PM. Event. RSS Annual Conference, Discussion Meeting. Location. Manchester, UK. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2023-09-17 12:00 AM — 12:00 AM. Pacific Causal Inference Conference. Location. Peking University, China. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Fun-Posts. Amusing counterfactual inference (by words). My good friend Joshua Loftus and I spent some 30 minutes to crack (at least we think we did!) a counterfactual inference made in a speech in the House of Commons in London in 1850 by

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

3 Jun 2024: Search. Causal-Inference. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. A new Bayesian full-information method for life-course Mendelian

3 Jun 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

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. 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>].