4 papers
Outcome Modeling in Design-Based Inference for Spatial Settings
Arisa Sadeghpour, Erin Hartman
In the face of spatial interference, researchers are often interested in estimating treatment effects at specific points located in space. Wang et al. (2025) and Pollmann (2023) pr…
Locally Equivalent Weights for Multilevel Regression and Poststratification
Ryan Giordano, Alice Cima, Jared Murray +2
Multilevel regression and poststratification (MrP) has become a workhorse method for estimating population quantities from non-probability surveys, and is the primary model-based a…
Inference with weights: Residualization produces short, valid intervals for varying estimands and varying resampling processes
Erin Hartman, Chad Hazlett, Arisa Sadeghpour
Weighting procedures are used in observational causal inference to adjust for covariate imbalance within the sample. Common practice for inference is to estimate robust standard er…
Leveraging Population Outcomes to Improve the Generalization of Experimental Results
Melody Huang, Naoki Egami, Erin Hartman +1
Generalizing causal estimates in randomized experiments to a broader target population is essential for guiding decisions by policymakers and practitioners in the social and biomed…