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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. Bo Zhang. Latest. Selecting and ranking individualized treatment rules with unmeasured confounding. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Qingyuan Zhao, Phyllis Ju, Sergio Bacallado, Rajen Shah. April 2020Abstract. We developed a generative model for key epidemiological events

3 Jun 2024: Search. On sensitivity value of pair-matched observational studies. February 2017Abstract. A crucial quantity in Rosenbaum’s sensitivity analysis is the ‘sensitivity value’, the amount of unmeasured confounding needed to alter the qualitative

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. Sensitivity Analysis. A new approach to sensitivity analysis in linear SEMs using stochastic optimization and the $R2$-calculus. Sensitivity analysis is widely recognized as a critical step in an observational study but is seldom found in

3 Jun 2024: Search. Multiple Testing. A constructive approach to selective risk control. Many modern applications require the use of data to both select the statistical tasks and make valid inference after selection. In this article, we provide a unifying

3 Jun 2024: Search. How infectious was COVID-19 when it first circulated in Wuhan? Abstract. This is given to A-level students. Date. 2022-03-24 2:00 PM — 2:45 PM. Location. Corpus Christi College Masterclass in Mathematics. 2024. Powered by the Academic

3 Jun 2024: Search. Fabiola Del Greco M. Latest. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Comment on FDA draft guidance for industry FDA-2019-D-0934: Adjusting for covariates in randomized clinical trials for drugs and biological products. Jun Shao, Ting Ye, Qingyuan Zhao. July 2021Abstract. This is a unsolicited commentary on

3 Jun 2024: Search. Exploratory Data Analysis. PathGPS: Discover shared genetic architecture using biobank data. The increasing availability and scale of Genome Wide Association Studies (GWAS) bring new horizons for understanding biological mechanisms. PathGPS

3 Jun 2024: Search. Confounder adjustment in multiple hypothesis testing. Jingshu Wang, Qingyuan Zhao, Trevor Hastie, Art Owen. August 2015Abstract. Confounding introduces hidden bias to the statistical inference. We show in modern simultaneous testing, it is

3 Jun 2024: Search. Sensitivity analysis via stochastic programming. Date. 2023-12-20 1:10 PM — 1:30 PM. Location. Lisbon, Portugal. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Fisher. Discussion on (quasi-)randomization inference. The following is an email exchange with Hyunseung Kang on the nature of randomization inference. This was sparked by a couple of papers by David Freedman and David Lane: A Nonstochastic

3 Jun 2024: Search. Estimation and prediction in sparse and unbalanced tables. Qingyuan Zhao, Trevor Hastie, Daryl Pregibon. March 2017Abstract. When there is a multi-way table where each dimension has large number of levels, it is computationally intensive to

3 Jun 2024: Search. Phyllis Ju. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Rajen Shah. Latest. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Featured Publications. A constructive approach to selective risk control. Many modern applications require the use of data to both select the statistical tasks and make valid inference after selection. In this …. Zijun Gao, Wenjie Hu,

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