Interdisciplinary Seminar in Quantitative Methods Archive 2013

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.

2013-2014 Series

Machine Learning Methods for Individualizing Just in Time Adaptive Interventions

September 11, 2013: Susan Murphy, Statistics, University of Michigan


The Analysis of Survey Data: Past Controversies, Current Orthodoxy, and a Proposed Future Paradigm

September 25, 2013: Rod Little, Biostatistics, University of Michigan


Using Vote Counts’ Digits to Diagnose Elections (Strategies, Vote Buying and Frauds)

October 9, 2013: Walter Mebane, Political Science/Statistics, University of Michigan


Double Sampling for Missing Outcome Data in Randomized Experiments

October 23, 2013: Donald Green, Political Science, Columbia University


Inverse Regression Analysis of Text Data

November 6, 2013: Matt Taddy, Statistics, Chicago Booth, University of Chicago


Design-Based Analysis of Regression Discontinuities: Some Advantages and Difficulties

November 20, 2013: Thad Dunning, Political Science, University of California at Berkeley


Public Policy in an Uncertain World

December 4, 2013: Chuck Manski, Economics, Northwestern University


The Balance-Sample Size Frontier in Matching Methods for Causal Inference

January 24, 2014: Gary King, Political Science, Harvard University


Are Participants Good Evaluators?

March 12, 2014: Jeff Smith, Economics/Public Policy, University of Michigan


Control Function Approaches to Estimating Causal Effects

March 26, 2014: Jeff Wooldridge, Economics, Michigan State University


An Extreme-Scale Computational Approach to Redistricting Optimization

April 9, 2014: Wendy K Tam Cho, Political Science and National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign


Random Coefficient Models for Multi-site Randomized Trials With Inverse Probability of Treatment Weighting

April 23, 2014: Stephen W. Raudenbush, Sociology, University of Chicago


Inference on Causal Effects in a Generalized Regression Kink Design

May 7, 2014: Zhuan Pei, Economics, Brandeis University


Endogenous Stratification in Randomized Experiments

May 21, 2014: Alberto Abadie, Public Policy, HKS, Harvard University