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Boucher M, Bennetts M. The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data. CPT Pharmacometrics Syst Pharmacol. 2016;5(2):54-64doi: 10.1002/psp4.12041.
Boucher, M., & Bennetts, M. (2016). The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data. CPT: pharmacometrics & systems pharmacology, 5(2), 54-64. https://doi.org/10.1002/psp4.12041
Boucher, M, and Bennetts, M. "The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data." CPT: pharmacometrics & systems pharmacology vol. 5,2 (2016): 54-64. doi: https://doi.org/10.1002/psp4.12041
Boucher M, Bennetts M. The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data. CPT Pharmacometrics Syst Pharmacol. 2016 Feb;5(2):54-64. doi: 10.1002/psp4.12041. Epub 2016 Feb 13. PMID: 26933516; PMCID: PMC4761229.
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CPT Pharmacometrics Syst Pharmacol. 2016 Feb;5(2):54-64. doi: 10.1002/psp4.12041. Epub 2016 Feb 13.

The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data.

CPT: pharmacometrics & systems pharmacology

M Boucher, M Bennetts

Affiliations

  1. Pharmacometrics, Pfizer Ltd Sandwich Kent UK.

PMID: 26933516 PMCID: PMC4761229 DOI: 10.1002/psp4.12041

Abstract

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.

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