Emulating a trial of joint dynamic strategies: an application to monitoring and treatment of HIV-positive individuals

DOI10.1002/SIM.8120zbMATH Open1546.62128MaRDI QIDQ6627129

Daniel R. Drozd, Matthias Egger, Ellen C. Caniglia, Hansjakob Furrer, Stephen L. Boswell, Remonie Seng, James M. Robins, John Gill, Belén Alejos, Sophie Jose, Roberto Muga, A. Pacheco, William C. Mathews, Peter C. Reiss, Fabien Le Marec, Miguel A. Hernán, George R. III Seage, Roger Logan, Janet Tate, Elena Ferrer, Jose M. Miro, Joseph J. Jun. Eron, Giota Touloumi, Michael S. Saag, Lauren E. Cain, Sonia Napravnik, Ard van Sighem, Beatriz Grinsztejn, Jordi Casabona, Caroline Sabin, Heiner C. Bucher, Laurence H. Meyer, Sophie Abgrall, Sonia Hernández-Díaz, Dominique Costagliola, Inma Jarrín, Richard D. Moore, Kholoud Porter, Fabrice Bonnet, Steven G. Deeks, Amy Justice, Andrew W. Phillips, Michael J. Mugavero, Heidi M. Crane

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

causal inferencemarginal structural modeldynamic regimejoint treatment strategiesno direct effect

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data

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