The Sociology Statistics Reading Group is a small approximately bi-weekly group to discuss interesting statistical methods papers in the literature. Each meeting we choose a paper which all members of the group read. A single discussant then walks through the material and we have a broader group discussion.
Please note that the presentations below often draw figures from the original papers and sometimes from presentations graciously provided by the paper authors.
September 22, 2016: Colliders
Elwert and Winship (2014) "Endogenous selection bias: The problem of conditioning on a collider variable"
Presenter: Han Zhang (Presentation)
September 29, 2016: Interactions
Hainmueller, Mummolo, Xu (2016) "How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice"
Presenter: Jason Windawi (Presentation)
*Special Thanks to Yiqing Xu for supplying slides on which much of the presentation is based.
October 13, 2016: Mediation
Imai, Keele, Tingley, Yamamoto (2011) "Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies"
Acharya, Blackwell and Sen (2016) "Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects"
Presenter: Ian Lundberg
*Special thanks to Dustin Tingley and Matt Blackwell for providing us with slides for this session.
October 27, 2016: Sensitivity Analysis
Blackwell (2014) "A Selection Bias Approach to Sensitivity Analysis for Causal Effects"
Morgan and Winship (2015) "Chapter 12: Distributional Assumptions, Set Identification, and Sensitivity Analysis" in Counterfactuals and Causal Inference: Methods and Principles for Social Research, Second Edition.
Presenter: Rebecca Johnson (Presentation)
November 10, 2016: Front-door Adjustment Strategies
Glynn and Kashin (2014) "Front-door Versus Back-door Adjustment with Unmeasured Confounding: Bias Formulas for Front-door and Hybrid Adjustments"
Presenter: Ethan Fosse (Presentation)
December 1, 2016: Cross-Validation
Ward, Greenhill and Bakke (2010) "The perils of policy by p-value: Predicting civil conflicts" Journal of Peace Research.
Selections on Cross Validation from Andrew Ng and Hastie, Tibshirani and Friedman (2009).
Presenter: Alex Kindel (Presentation)
February 16, 2017: Mixed Membership Stochastic Blockmodels
Airoldi, Blei, Fienberg and Xing (2008) "Mixed Membership Stochastic Blockmodels" Journal of Machine Learning Research.
Presenter: Herissa Lamothe (Presentation)
March 2, 2017: Conjoint Analysis
Hainmueller, Hopkins and Yamamoto (2014) "Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices Via Stated Preference Experiments" Political Analysis.
Presenter Xinyi Duan (Presentation)
March 16, 2017: Ecological inference
King, Rosen and Tanner (2004) "Information in Ecological Inference: An Introduction" in Ecological Inference: New Methodological Strategies.
Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records"
(Optional) King, Rosen, Tanner and Wagner "Ordinary Economic Voting Behavior in the Extraordinary Election of Adolf Hitler"
Presenter Simone Zhang (Presentation)
*Special thanks to Gary King for sharing slides used in this section.
March 30, 2017: Fixed Effects
Imai and Kim (2016) "When Should We Use Linear Fixed Effects Regression Models for Causal Inference With Longitudinal Data?"
Presenter Jeremy Cohen
April TBD: Mixed Factor Analysis
Quinn (2004) "Bayesian factor Analysis for Mixed Ordinal and Continuous Responses"
Presenter Ryan Parsons
May 4, 2017: Weights in Survey Experiments
Franco, Malhotra, Simonovits, Zigerell (2017) "Developing Standards for Post-Stratification Weighting in Population-Based Survey Experiments"
Miratrix, Sekhon, Theororidis and Campos (2017) "Worth Weighting? How to Think About and Use Sample Weights in Survey Experiments"
Presenter: Janet Xu