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• W2102181259 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." @default.
• W2102181259 created "2016-06-24" @default.
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• W2102181259 date "2016-02-01" @default.
• W2102181259 modified "2023-10-04" @default.
• W2102181259 title "The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data" @default.
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• W2102181259 doi "https://doi.org/10.1002/psp4.12041" @default.
• W2102181259 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4761229" @default.
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