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