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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 |
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author | Boucher, Martin Bennetts, Meg |
author_facet | Boucher, Martin Bennetts, Meg |
author_sort | Boucher, Martin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5980518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59805182018-06-01 Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses Boucher, Martin Bennetts, Meg CPT Pharmacometrics Syst Pharmacol Tutorial 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. John Wiley and Sons Inc. 2018-04-20 2018-05 /pmc/articles/PMC5980518/ /pubmed/29569841 http://dx.doi.org/10.1002/psp4.12299 Text en © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Tutorial Boucher, Martin Bennetts, Meg Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses |
title | Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses |
title_full | Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses |
title_fullStr | Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses |
title_full_unstemmed | Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses |
title_short | Many Flavors of Model‐Based Meta‐Analysis: Part II – Modeling Summary Level Longitudinal Responses |
title_sort | many flavors of model‐based meta‐analysis: part ii – modeling summary level longitudinal responses |
topic | Tutorial |
url | 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 |
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