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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. Statistical Modelling (Part II, Michaelmas 2022). 2022-09-30. General information. This course consists of 16 lectures and 8 practical sessions. It complements the Part II Principles of Statistics, but takes a more applied perspective.

18 Feb 2015: Page transitions will look better if you download the. pdf and read in Acrobat, rather then trying to view in your browser.

14 Jan 2016: I may make some changes as the course proceeds. You can download a copy now, and take another copy once the course ends. ... You will have to download a copy of the pdf file.

3 Jun 2024: Search. Selective Randomization Inference for Adaptive Experiments. Tobias Freidling, Qingyuan Zhao, Zijun Gao. May 2024Abstract. Adaptive experiments use preliminary analyses of the data to inform further course of action and are commonly used in

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. Talks. 2024. Design: The Elusive Principle of Statistics. 2024-03-07 1:00 PM — 2:00 PM University of Oxford. 2024-02-13 2:00 PM — 3:00 PM University of East Anglia. 2024-02-08 2:00 PM — 3:00 PM London School of Economics and Political

23 Apr 2013: Charles Grinstead and Laurie Snell Introduction to Probability Second edition, 1997 (freely available to download). ... Peter Doyle and Laurie Snell Random walks and electric networks, 2006 (freely available to download.

3 Jun 2024: Search. A unified analysis of regression adjustment in randomized experiments. Katarzyna Reluga, Ting Ye, Qingyuan Zhao. October 2022Abstract. Regression adjustment is broadly applied in randomized trials under the premise that it usually improves

3 Jun 2024: Search. Sensitivity analysis for observational studies. Abstract. Sensitivity analysis is widely recognized as a critical step in an observational study but is seldom found in applications. One reason for its underuse is the various forms of model,