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The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data
Meta‐analysis is an increasingly important aspect of drug development as companies look to benchmark their own compounds with the competition. There is scope to carry out a wide range of analyses addressing key research questions from preclinical through to postregistration. This set of tutorials wi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761229/ https://www.ncbi.nlm.nih.gov/pubmed/26933516 http://dx.doi.org/10.1002/psp4.12041 |
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author | Boucher, M Bennetts, M |
author_facet | Boucher, M Bennetts, M |
author_sort | Boucher, M |
collection | PubMed |
description | Meta‐analysis is an increasingly important aspect of drug development as companies look to benchmark their own compounds with the competition. There is scope to carry out a wide range of analyses addressing key research questions from preclinical through to postregistration. This set of tutorials will take the reader through key model‐based meta‐analysis (MBMA) methods with this first installment providing a general introduction before concentrating on classical and Bayesian methods for landmark data. |
format | Online Article Text |
id | pubmed-4761229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47612292016-03-01 The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data Boucher, M Bennetts, M CPT Pharmacometrics Syst Pharmacol Tutorial Meta‐analysis is an increasingly important aspect of drug development as companies look to benchmark their own compounds with the competition. There is scope to carry out a wide range of analyses addressing key research questions from preclinical through to postregistration. This set of tutorials will take the reader through key model‐based meta‐analysis (MBMA) methods with this first installment providing a general introduction before concentrating on classical and Bayesian methods for landmark data. John Wiley and Sons Inc. 2016-02-13 2016-02 /pmc/articles/PMC4761229/ /pubmed/26933516 http://dx.doi.org/10.1002/psp4.12041 Text en © 2016 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 Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Tutorial Boucher, M Bennetts, M The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data |
title | The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data |
title_full | The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data |
title_fullStr | The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data |
title_full_unstemmed | The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data |
title_short | The Many Flavors of Model‐Based Meta‐Analysis: Part I—Introduction and Landmark Data |
title_sort | many flavors of model‐based meta‐analysis: part i—introduction and landmark data |
topic | Tutorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761229/ https://www.ncbi.nlm.nih.gov/pubmed/26933516 http://dx.doi.org/10.1002/psp4.12041 |
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