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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. 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. Yang Jiang. Latest. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Macros for graph separations. 2024-04-29 1 min read. In a recent paper by Richard Guo and me, we proposed a systematic way to select confounders by eliciting expert opinion. We invented some new notation to distinguish some different types

3 Jun 2024: Search. Almost exact Mendelian randomization. Date. 2023-04-20 10:00 AM — 10:20 AM. European Causal Inference Meeting. Location. Oslo, Norway. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. What is a randomization test? Date. 2022-03-23 2:00 PM — 3:00 PM. Event. Statistics Seminar. Location. University of Toronto. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Luke Keele. Latest. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Fisher, Statistics, and Randomization. Abstract. One of Fisher’s most important scientific contributions is the paradigm of randomized experiments. I will try to trace the origin of this idea and highlight how it is rooted in Fisher’s

3 Jun 2024: Search. Using sparsity to overcome unmeasured confounding. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another aspect—the

3 Jun 2024: Search. Randomization. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. Discussion on (quasi-)randomization inference. The following is an email

3 Jun 2024: Search. PathGPS: Discover shared genetic architecture using biobank data. Zijun Gao, Trevor Hastie, Qingyuan Zhao. May 2022Abstract. The increasing availability and scale of Genome Wide Association Studies (GWAS) bring new horizons for understanding

3 Jun 2024: Search. SEISMIC: A self-exciting point process model for predicting tweet popularity. Qingyuan Zhao, Murat A Erdogdu, Hera Y He, Anand Rajaraman, Jure Leskovec. August 2015Abstract. We study a simple but extremely noisy form of information

3 Jun 2024: Search. Daniel Iong. Latest. A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Wes Spiller. Latest. Two-sample instrumental variable analyses using heterogeneous samples. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Kinjal Basu. Latest. Permutation $p$-value approximation via generalized Stolarsky invariance. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Publications. Type. Uncategorized. Conference paper. Journal article. Preprint. Date. 2024. 2023. 2022. 2021. 2020. 2019. 2018. 2017. 2016. 2015. Tobias Freidling, Qingyuan Zhao, Zijun Gao (2024). Zixuan Wu, Ethan Lewis, Qingyuan Zhao,

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. Ethan Lewis. Latest. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Study Design. Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. We reviewed the prevalence of different study designs in environmental and social sciences and introduced a novel