A frequentist one-step model for a simple network meta-analysis of time-to-event data in presence of an effect modifier

A frequentist one-step model for a simple network meta-analysis of time-to-event data in presence of an effect modifier

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<h4>Introduction</h4> Individual patient data (IPD) present particular advantages in network meta-analysis (NMA) because interactions may lead an aggregated data (AD)-based model to wrong a treatment effect (TE) estimation. However, fewer works have been conducted for IPD with time-to-ev...

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Autores principales: Matthieu Faron, Pierre Blanchard, Laureen Ribassin-Majed, Jean-Pierre Pignon, Stefan Michiels, Gwénaël Le Teuff
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Medicine
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Science
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Acceso en línea:https://doaj.org/article/67b0fb7f269946abbc0d4853493de390
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