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3 Jun 2024: Search. Wenjie Hu. Latest. A constructive approach to selective risk control. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Zhen Miao. 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. Weijie Su. Latest. Multiple testing when many $p$-values are uniformly conservative. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Mendelian randomization: Old and new insights. Abstract. 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

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. Eleanor Sanderson. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Design: The Elusive Principle of Statistics. Date. 2024-03-07 1:00 PM — 2:00 PM. Location. University of Oxford. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Zijun Gao. Latest. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Debbie Lawlor, Qingyuan Zhao, Nuala Sheehan, John Thompson, George Davey Smith.

3 Jun 2024: Search. Tom Palmer. Latest. Mendelian randomization. 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. 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. 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. 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. Luke Keele. Latest. 2024. Powered by the Academic theme forCite.

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

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