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Bibliographic Details
Main Authors: Gelman, Andrew, Krefman, Amy, Kennedy, Lauren, Hullman, Jessica
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.08421
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author Gelman, Andrew
Krefman, Amy
Kennedy, Lauren
Hullman, Jessica
author_facet Gelman, Andrew
Krefman, Amy
Kennedy, Lauren
Hullman, Jessica
contents When designing and evaluating an experiment or observational study, it is useful to have a realistic hypothesis regarding the average treatment effect. We present an approach to conceptualizing this average by first considering a distribution of effects. We demonstrate with examples in medicine, economics, and psychology.
format Preprint
id arxiv_https___arxiv_org_abs_2604_08421
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Hypothesizing an effect size by considering individual variation
Gelman, Andrew
Krefman, Amy
Kennedy, Lauren
Hullman, Jessica
Methodology
When designing and evaluating an experiment or observational study, it is useful to have a realistic hypothesis regarding the average treatment effect. We present an approach to conceptualizing this average by first considering a distribution of effects. We demonstrate with examples in medicine, economics, and psychology.
title Hypothesizing an effect size by considering individual variation
topic Methodology
url https://arxiv.org/abs/2604.08421