output
20142026
most citedMachine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

693 citations

Showing stat.MEShow all

6 papers · 1 filter

stat.ME2024★ 4 cited

Effect modification and non-collapsibility leads to conflicting treatment decisions: a review of marginal and conditional estimands and recommendations for decision-making

David M. Phillippo, Antonio Remiro-Azócar, Anna Heath +4

Effect modification occurs when a covariate alters the relative effectiveness of treatment compared to control. It is widely understood that, when effect modification is present, t…

stat.ME2023★ 4 cited

Methodological considerations for novel approaches to covariate-adjusted indirect treatment comparisons

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

We examine four important considerations in the development of covariate adjustment methodologies for indirect treatment comparisons. Firstly, we consider potential advantages of w…

stat.ME2023★ 5 cited

Model-based standardization using multiple imputation

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

When studying the association between treatment and a clinical outcome, a parametric multivariable model of the conditional outcome expectation is often used to adjust for covariat…

stat.ME2021★ 45 cited

Parametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

Population adjustment methods such as matching-adjusted indirect comparison (MAIC) are increasingly used to compare marginal treatment effects when there are cross-trial difference…

stat.ME2020★ 38 cited

Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study'

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

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-adjus…

stat.ME2020★ 4 cited

Effect modification in anchored indirect treatment comparisons: Comments on "Matching-adjusted indirect comparisons: Application to time-to-event data"

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

This commentary regards a recent simulation study conducted by Aouni, Gaudel-Dedieu and Sebastien, evaluating the performance of different versions of matching-adjusted indirect co…