338 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hospital for Sick ChildrenCA7 papers
- SickKids FoundationCA7 papers
- Public Health OntarioCA6 papers
- University College LondonGB6 papers
- University of TorontoCA5 papers
- Bayer (United Kingdom)GB2 papers
- Health Economics and Outcomes Research (United Kingdom)GB2 papers
- Alberta Machine Intelligence InstituteCA1 paper
- BruyèreCA1 paper
- Fondazione Bruno KesslerIT1 paper
- Ottawa HospitalCA1 paper
- Ottawa Hospital Research InstituteCA1 paper
8 papers
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…
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records
Lin Lawrence Guo, Jason Fries, Ethan Steinberg +6
Foundation models hold promise for transforming AI in healthcare by providing modular components that are easily adaptable to downstream healthcare tasks, making AI development mor…
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…
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…
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…
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
Optimal performance is critical for decision-making tasks from medicine to autonomous driving, however common performance measures may be too general or too specific. For binary cl…
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…
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…