Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 77 tok/s
Gemini 2.5 Pro 56 tok/s Pro
GPT-5 Medium 34 tok/s Pro
GPT-5 High 35 tok/s Pro
GPT-4o 103 tok/s Pro
Kimi K2 208 tok/s Pro
GPT OSS 120B 462 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Estimating marginal treatment effects from observational studies and indirect treatment comparisons: When are standardization-based methods preferable to those based on propensity score weighting? (2301.09661v3)

Published 23 Jan 2023 in stat.ME

Abstract: In light of newly developed standardization methods, we evaluate, via simulation study, how propensity score weighting and standardization -based approaches compare for obtaining estimates of the marginal odds ratio and the marginal hazard ratio. Specifically, we consider how the two approaches compare in two different scenarios: (1) in a single observational study, and (2) in an anchored indirect treatment comparison (ITC) of randomized controlled trials. We present the material in such a way so that the matching-adjusted indirect comparison (MAIC) and the (novel) simulated treatment comparison (STC) methods in the ITC setting may be viewed as analogous to the propensity score weighting and standardization methods in the single observational study setting. Our results suggest that current recommendations for conducting ITCs can be improved and underscore the importance of adjusting for purely prognostic factors.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.