Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study'
Methodology
2021-11-05 v2 Applications
Abstract
In this commentary, we highlight the importance of: (1) carefully considering and clarifying whether a marginal or conditional treatment effect is of interest in a population-adjusted indirect treatment comparison; and (2) developing distinct methodologies for estimating the different measures of effect. The appropriateness of each methodology depends on the preferred target of inference.
Keywords
Cite
@article{arxiv.2011.06334,
title = {Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study'},
author = {Antonio Remiro-Azócar and Anna Heath and Gianluca Baio},
journal= {arXiv preprint arXiv:2011.06334},
year = {2021}
}
Comments
6 pages, submitted to Statistics in Medicine. Response to `Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study' by Phillippo, Dias, Ades and Welton, published in Statistics in Medicine (2020). Updated after Ph.D. proposal defense/transfer viva comments