Effect modification in anchored indirect treatment comparison: Comments on “Matching‐adjusted indirect comparisons: Application to time‐to‐event data”-Reference-Cited by-同舟云学术

Effect modification in anchored indirect treatment comparison: Comments on “Matching‐adjusted indirect comparisons: Application to time‐to‐event data”

Published:2022-03-11 Issue:8 Volume:41 Page:1541-1553
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Remiro‐Azócar Antonio¹²^ORCID,Heath Anna¹³⁴,Baio Gianluca¹

Affiliation:

1. Department of Statistical Science University College London London United Kingdom

2. Quantitative Research Statistical Outcomes Research & Analytics (SORA) Ltd. London United Kingdom

3. Child Health Evaluative Sciences The Hospital for Sick Children Toronto ON Canada

4. Dalla Lana School of Public Health University of Toronto Toronto ON Canada

Funder

Canada Research Chairs

Engineering and Physical Sciences Research Council

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9286

Reference47 articles.

1. Matching‐adjusted indirect comparisons: application to time‐to‐event data;Aouni J;Stat Med,2021

2. Methods for population‐adjusted indirect comparisons in health technology appraisal;Phillippo DM;Med Decis Mak,2018

3. PhillippoD AdesT DiasS PalmerS AbramsKR WeltonN.NICE DSU technical support document 18: methods for population‐adjusted indirect comparisons in submissions to NICE; 2016.

4. Four types of effect modification: a classification based on directed acyclic graphs;VanderWeele TJ;Epidemiology,2007

5. Clinical Trials

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