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3 Jun 2024: Search. John Thompson. 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. Nuala Sheehan. 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. Art B Owen. Latest. Permutation $p$-value approximation via generalized Stolarsky invariance. 2024. Powered by the Academic theme forCite.

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. Statistical Modeling: Returning to its roots. 2021-04-05 10 min read. Over this Easter weekend, I wrote the following commentary for the reprinting on Leo Breiman’s paper “Statistical Modeling: The Two Cultures” by Observational Studies

1 Dec 2015: psfrag. to put nice text into figures. At the top of my publication list you can download and view the essay that I wrote for Part III in 1975.

3 Jun 2024: Search. Causal inference: An introduction. Abstract. Introduction to causal inference for social science PhD students. Date. 2020-03-04 2:00 PM — 4:00 PM. Event. Social Sciences Research Methods Programme (SSRMP). Location. University of

3 Jun 2024: Search. Is this estimand really an average treatment effect? 2020-06-27 9 min read. Update <2020-09-11 Fri> See the preprint here based on this blog post. Background. My Stanford office-mate and good friend Josh Loftus messaged me about an

3 Jun 2024: Search. Discussion on (quasi-)randomization inference. 2023-01-10 12 min read. 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

3 Jun 2024: Search. The origin of randomization. 2022-04-22 14 min read. This post is derived from my talk “Fisher, Statistics, and Randomization” in the Fisher in the 21st Century Conference organized by Fisher’s College, Gonville & Caius. In the first

3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-05-05. Event. Yale Biostatistics Seminar. Location. Department of Biostatistics, Yale University. 2024. Powered by the Academic

3 Jun 2024: Search. Mendelian randomization: A tutorial. Abstract. Tutorial talk for the theory, methods, and practice of Mendelian randomization. Date. 2019-07-12. Event. Causal Inference Summer Institute 2019. Location. Rutgers University, School of Public

8 Nov 2013: Most are available to download.

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. Freedman. 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

3 Jun 2024: li> <li> <a href="https://core.ac.uk/download/pdf/208248069.pdf" target="_blank" rel="noopener">Models and statistical inference: The Fisher.

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

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: li> <li> <a href="https://core.ac.uk/download/pdf/208248069.pdf" target="_blank" rel="noopener">Models and statistical inference: The controversy between Fisher and Neyman–Pearson</a>.</li> </ol> ... href="https://core.ac.uk/download/pdf/208248069.pdf"

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