ISQM Archive 2013-2014

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