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Interdisciplinary Seminar in Quantitative Methods Archive 2016

About the workshops

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 are aimed at a broad audience, with emphasis on conceptual rather than technical issues. The research presented is varied, ranging from new methodological developments to applied empirical papers that use methodology in an innovative way. We welcome speakers and audiences from all disciplines and fields, including the social, natural, biomedical, and behavioral sciences.

2016-2017 Series

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