arXiv · 2011.06334
Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study'
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.
Explore related subjects
Keep this discovery
Antonio Remiro-Azócar, Anna Heath, Gianluca Baio. 2020-11-12. Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study'. https://doi.org/10.1002/sim.8857
Cite the original work for its findings. Save a collection to share your selection of sources.