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

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WILEY
DOI: 10.1002/psp4.12041

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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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