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Yuxiang Gao; Lauren Kennedy; Daniel Simpson; Andrew Gelman – Grantee Submission, 2021
A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population. Multilevel regression and poststratification (MRP), a model-based approach, is gaining traction against the traditional weighted approach for survey estimates. MRP estimates…
Descriptors: Regression (Statistics), Statistical Analysis, Surveys, Computation
Lauren Kennedy; Andrew Gelman – Grantee Submission, 2021
Psychology research often focuses on interactions, and this has deep implications for inference from non-representative samples. For the goal of estimating average treatment effects, we propose to fit a model allowing treatment to interact with background variables and then average over the distribution of these variables in the population. This…
Descriptors: Models, Generalization, Psychological Studies, Computation

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