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Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses
Meta‐analyses typically assess comparative treatment response for an end point at specific timepoints across studies. However, during drug development, it is often of interest to understand the response time‐course of competitor compounds for a variety of purposes. Examples of such application inclu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980518/ https://www.ncbi.nlm.nih.gov/pubmed/29569841 http://dx.doi.org/10.1002/psp4.12299 |
Sumario: | Meta‐analyses typically assess comparative treatment response for an end point at specific timepoints across studies. However, during drug development, it is often of interest to understand the response time‐course of competitor compounds for a variety of purposes. Examples of such application include informing study design and characterizing the onset, maintenance, and offset of action. This tutorial acts as a “points for consideration” document, reviews relevant literature, and fits a longitudinal model to an example dataset. |
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