Interdisciplinary Seminar in Quantitative Methods (ISQM)

The goal of the Interdisciplinary Seminar in Quantitative Methods is to provide an interdisciplinary environment where researchers can present and discuss cutting-edge research in quantitative methodology. The talks will be aimed at a broad audience, with more emphasis on conceptual than technical issues. The research presented will be varied, ranging from new methodological developments to applied empirical papers that use methodology in an innovative way. We welcome speakers and audiences from all fields in the social, natural, and behavioral sciences.

Organizers: Matias Cattaneo and Rocio Titiunik
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Location: Eldersveld Room, 5670 Haven Hall

Time: Wednesdays, 4:00 - 5:30pm

Note: Please see event listing for particular changes in location or time.

Electronic Homestyle: Tweeting Ideology

September 21, 2016: Betsy Sinclair, Political Science, Washington University in St. Louis

Statistical Issues in Studying the Natural History of Diseases

October 12, 2016: Nicholas Jewell, Biostatistics, UC-Berkeley

Exploratory and Confirmatory Causal Inference for High Dimensional Interventions

October 19, 2016: Justin Grimmer, Political Science and Computer Science, Stanford University

One-Step Targeted Maximum Likelihood Estimation and the Highly Adaptive Lasso

November 9, 2016: Mark van der Laan, Biostatistics and Statistics, UC Berkeley

How Small Data Can Leverage Big Data

February 22, 2017: Bhramar Mukherjee, Biostatistics, Epidemiology and Comprehensive Cancer Center, University of Michigan

Marginal Treatment Effects in Theory and Practice

March 8, 2017: Edward Vytlacil, Economics, Yale University

The Longitudinal Intergenerational Family Electronic Micro-Database (LIFE-M) Project

April 5, 2017: Martha Bailey, Economics, University of Michigan

Reproducibility of science: p-values, multiple testing and optional stopping

April 12, 2017: Jim Berger, Statistics, Duke University