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3 Jun 2024: Search. A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. Qingyuan Zhao, Jingshu Wang, Zhen Miao, Nancy Zhang, Sean Hennessy, Dylan Small, Daniel Rader. July 2019Type. Publication. eLife. 2024.

3 Jun 2024: Search. Negative Control. Simultaneous hypothesis testing using negative controls. Negative control is a common technique in scientific investigations and broadly refers to the situation where a null effect (“negative result”) is expected.

3 Jun 2024: Search. Art Owen. Latest. Confounder adjustment in multiple hypothesis testing. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Leverage Mendelian Randomization to Learn Meaningful Representations (LMR2). Date. 2021-12-14 5:30 PM — 6:00 PM. Learn Meaningful Representations of Life (NeurIPS workshop). Location. LMRL NeurIPS workshop. 2024. Powered by the Academic

3 Jun 2024: Search. Ting Ye. Latest. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Corpus. How infectious was COVID-19 when it first circulated in Wuhan?. This is given to A-level students. 2024. Powered by the Academic theme forCite.

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. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Abstract. The coronavirus disease 2019 (COVID-19) has quickly grown from a regional outbreak in Wuhan, China to a global pandemic. Early

3 Jun 2024: Search. Genetics. 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 statistics and genetics a century ago, although the

3 Jun 2024: Search. Computation. Estimation and prediction in sparse and unbalanced tables. When there is a multi-way table where each dimension has large number of levels, it is computationally intensive to fit even the standard mixed effects models. We

3 Jun 2024: Search. Design. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Multiple conditional randomization tests. Yao Zhang, Qingyuan Zhao. April 2021Abstract. We propose a general framework for (multiple) conditional randomization tests that incorporate several important ideas in the recent literature. We

3 Jun 2024: Search. Sensitivity Analysis with the $R2$-calculus. Tobias Freidling, Qingyuan Zhao. January 2023R$-sensitivity contours for the lower end of the estimated partially identified region. Abstract. Causal inference necessarily relies upon untestable

3 Jun 2024: Search. Selective Inference. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. A constructive approach to selective risk control. Many modern

3 Jun 2024: Search. Bayesian Statistics. Letter to the editor: Generation interval for COVID-19 based on symptom onset data. The purpose of this letter is to raise a few issues with the methodology of a recent paper by Ganyani et al. [1], which aimed to

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,

3 Jun 2024: Search. Michael V. Holmes. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

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>].

3 Jun 2024: Search. IV & MR (project page). 2019-07-18. Related. Publications. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. A new Bayesian full-information method for life-course Mendelian randomization. Zixuan

3 Jun 2024: Search. Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. Qingyuan Zhao, Dylan Small, Bhaswar Bhattarcharya. November 2017Abstract. Rosenbaum’s sensitivity analysis framework has several limitations: 1.