output
20092024
most citedParametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data

45 citations

5 papers

cs.LG2024★ 5 cited

Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report

Rachael Fleurence, Xiaoyan Wang, Jiang Bian +5

Objective: This article offers a taxonomy of generative artificial intelligence (AI) for health economics and outcomes research (HEOR), explores its emerging applications, and outl…

stat.ME2021★ 19 cited

Target estimands for population-adjusted indirect comparisons

Antonio Remiro-Azócar

Disagreement remains on what the target estimand should be for population-adjusted indirect treatment comparisons. This debate is of central importance for policy-makers and applie…

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★ 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…

cs.CY2009

Meshat: Monitoring and Experience Sharing Tool for Project-Based Learning

Christine Michel, Elise Garrot-Lavoué

Our work aims at studying tools offered to learners and tutors involved in face-to-face or blended project-based learning activities. To understand better the needs and expectation…