Design and Analysis of Subgroups with Biopharmaceutical Applications
Naitee Ting (Hrsg.), (Din) Ding-Geng Chen (Hrsg.), Joseph C. Cappelleri (Hrsg.), Shuyen Ho (Hrsg.)
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
This book provides an overview of the theories and applications on subgroups in the biopharmaceutical industry. Drawing from a range of expert perspectives in academia and industry, this collection offers an overarching dialogue about recent advances in biopharmaceutical applications, novel statistical and methodological developments, and potential future directions.
The volume covers topics in subgroups in clinical trial design; subgroup identification and personalized medicine; and general issues in subgroup analyses, including regulatory ones. Included chapters present current methods, theories, and case applications in the diverse field of subgroup application and analysis. Offering timely perspectives from a range of authoritative sources, the volume is designed to have wide appeal to professionals in the pharmaceutical industry and to graduate students and researchers in academe and government.
Kundenbewertungen
Bayesian statistics, meta-analysis, subgroup identification, precision medicine, benefit-risk, network meta-analysis, pharmaceutical, subgroup analysis, confirmatory subgroup analysis, personalized medicine