Causal Inference and Estimands -- ICHPS 2027

Aligning Estimands and Regression Specifications in Policy Research

Bijan Niknam (Johns Hopkins Bloomberg School of Public Health)

Co-authors: Matthew D Eisenberg (Johns Hopkins Bloomberg School of Public Health), Beth Ann Griffin (RAND), Elizabeth Stuart (Johns Hopkins University, Bloomberg School of Public Health)

Policy Evaluation Weighted Regression

Causal Inference for Functional Treatments with Stochastic Policies

Martha Barnard

Co-authors: Jared Huling (University of Minnesota), Julian Wolfson (University of Minnesota)

Functional data analysis time-varying confounding observational data positivity violations

Proximal Causal Inference in Practice: A Weighting Perspective and Diagnostics for Weak Proxies

Grace Ringlein (Johns Hopkins Bloomberg School of Public Health)

Co-authors: Trang Quynh Nguyen (Johns Hopkins Bloomberg School of Public Health), Harsh Parikh (Yale University), Elizabeth Stuart (Johns Hopkins University, Bloomberg School of Public Health), Peter Zandi (Johns Hopkins School of Medicine)

causal inference proxies measurement error negative controls balancing weights diagnostics

Estimators for Causal Decomposition Analysis with Allowability Specifications

John Jackson

Co-authors: Ting-Hsuan Chang (Johns Hopkins Bloomberg School of Public Health), Aster Meche (Johns Hopkins Bloomberg School of Public Health), Trang Quynh Nguyen (Johns Hopkins Bloomberg School of Public Health)

Health Disparity Fairness Causal Decomposition Analysis Causal Inference Allowability Multiply Robust

Doubly Robust Estimators of Quantile Treatment Effects With Semiparametric Cumulative Probability Models

Hao Wu

Co-authors: Chun Li (Department of Population and Public Health Sciences, University of Southern California), Bryan Shepherd (Department of Biostatistics, Vanderbilt University)

Causal Inference Conditional treatment effects Augmented Inverse probability weighting Ordinal regression model Probability treatment effect.

Local IV Effects without Positivity

Luke Keele (University of Pennsylvania)

causal inference instrumental variables observational studies

Causal Inference and Estimands

6 Abstracts