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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. Students. Postdocs. Katarzyna Reluga: 2020–2021. Zijun Gao: 2022-2023. Ph.D. students. Matt Tudball (co-supervision): 2018–2023. Tobias Freidling: 2020–. Joakim Blach Andersen: 2021–. Max Zhu: 2022–. Undergraduate students. Etaash

3 Jun 2024: Search. Multiple conditional randomization tests. Date. 2022-06-27 5:10 PM — 5:30 PM. Location. London. 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. Date. 2021-03-24 4:00 PM — 5:00 PM. Location. Infectious disease outbreaks webinar. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan Small. February 2020Abstract. Vignette of an R package for

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. Daniel Percival. Latest. Entropy balancing is doubly robust. 2024. Powered by the Academic theme forCite.

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. Matthew Tudball. Latest. Sample-constrained partial identification with application to selection bias. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Ashkan Ertefaie. Latest. Selective inference for effect modification via the lasso. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Multiple conditional randomization tests. Date. 2021-09-29 9:30 PM — 10:30 PM. Event. UC Berkeley Causal Inference Group. Location. UC Berkeley Causal Inference Group. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Matt Tudball. Latest. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Daniel Rader. Latest. A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Discovering mechanistic heterogeneity using Mendelian randomization. Abstract. Mendelian Randomization (MR) is a popular method in epidemiology and genetics that uses genetic variation as instrumental variables for causal inference. Existing

3 Jun 2024: Search. Effect Modification. Selecting and ranking individualized treatment rules with unmeasured confounding. Optimal individualized treatment rules try to assign the best treatment to every individual, but it may be very sensitive to unmeasured

3 Jun 2024: Search. Confounder selection via iterative graph expansion. F Richard Guo, Qingyuan Zhao. September 2023Abstract. Confounder selection, namely choosing a set of covariates to control for confounding between a treatment and an outcome, is arguably

3 Jun 2024: Search. Jingshu Wang. Latest. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Marshall Joffe. Latest. A note on post-treatment selection in studying racial discrimination in policing. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Factor Analysis. Performance evaluation with latent factors. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka 'alpha') of U.S. equity mutual funds. When funds

3 Jun 2024: Search. M. Maria Glymour. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Machine Learning. Comment: Will competition-winning methods for causal inference also succeed in practice?. This is an invited commentary for Statistical Science on the causal inference data competition in ACIC 2016. Causal interpretations

3 Jun 2024: Search. Sensitivity analysis for observational studies: past, present, and future. Date. 2024-02-13 2:00 PM — 3:00 PM. Location. University of East Anglia. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2024-02-08 2:00 PM — 3:00 PM. Event. Joint Econometrics and Statistics Seinar. Location. London School of Economics and Political Science (LSE). 2024. Powered by the Academic theme

3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-09-24. Event. OSU Statistics Seminar. Location. Department of Statistics, Ohio State University. 2024. Powered by the Academic

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. 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. 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. 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. Social Sciences. Performance evaluation with latent factors. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka 'alpha') of U.S. equity mutual funds. When funds

3 Jun 2024: Search. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Qingyuan Zhao, Jingshu Wang, Gibran Hemani, Jack Bowden, Dylan Small. January 2018Abstract. We provide a comprehensive theoretical

3 Jun 2024: Search. Resources for Mendelian randomization. 2019-08-01 1 min read. This page collects some useful resources for people interested in Mendelian randomization. Software. MR-RAPS. The statistical methods for univariate summary-data MR are

3 Jun 2024: Search. Cosetta Minelli. 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. Anand Rajaraman. Latest. SEISMIC: A self-exciting point process model for predicting tweet popularity. 2024. Powered by the Academic theme forCite.

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. Infectious-Diseases. To be read before The Royal Statistical Society at the Society's 2021 annual conference held in Manchester on Wednesday, September 8th, 2021, the President, Professor Sylvia Richardson, in the Chair. Letter to the editor:

3 Jun 2024: Search. Analysis of the epidemic growth of the early 2019-nCoV outbreak using internationally confirmed cases. Qingyuan Zhao, Yang Chen, Dylan Small. February 2020Abstract. We analyzed 46 2019-nCoV cases confirmed in Japan, Korea, Singapore, Taiwan,

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. Selection Bias. To be read before The Royal Statistical Society at the Society's 2021 annual conference held in Manchester on Wednesday, September 8th, 2021, the President, Professor Sylvia Richardson, in the Chair. A note on post-treatment

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

3 Jun 2024: Search. Two-sample instrumental variable analyses using heterogeneous samples. Qingyuan Zhao, Jingshu Wang, Wes Spiller, Jack Bowden, Dylan Small. August 2017Abstract. Many modern IV studies (especially Mendelian Randomization) are carried out with

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. Dylan Small. Latest. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Snigdha Panigrahi. Latest. Selective inference for effect modification: An empirical investigation. 2024. Powered by the Academic theme forCite.

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. Confounder Selection. We propose a systematic way to select confounders. Confounder selection: Objectives and approaches. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them.

3 Jun 2024: Search. MR Data Challenge 2019. The role of lipoprotein subfractions in coronary artery disease. Abstract. This report entered the 2019 MR Data Challenge and contains reproducible R code for our analysis. Date. 2019-07-19. Event. Mendelian

3 Jun 2024: Search. A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization. Daniel Iong, Qingyuan Zhao, Yang Chen. July 2020Scatterplot of BMI-T2D data with MC-EM parameter estimates. Abstract. Mendelian Randomization (MR) is a

3 Jun 2024: Search. Graphical diagnosis of confounding bias in instrumental variables analysis. Qingyuan Zhao, Dylan Small. May 2018Abstract. This research letter proposes a new diagnostic plot for IV analysis, so large bias ratios (compared to OLS estimator)

3 Jun 2024: Search. Discussion on 'Causal Inference in Genetic Trio Studies'. Date. 2021-01-26. Online Causal Inference Seminar. Location. Online Causal Inference Seminar (Zoom meeting). 2024. Powered by the Academic theme forCite.