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Design and analysis of subgroups wit...

Ting, Naitee.

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Design and analysis of subgroups with biopharmaceutical applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Design and analysis of subgroups with biopharmaceutical applications/ edited by Naitee Ting ... [et al.].
其他作者:	Ting, Naitee.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xviii, 400 p. :ill., digital ;24 cm.
內容註:	1. Data-driven and Confirmatory Subgroup Analysis in Clinical Trials -- 2. Subgroup Analysis - A View from Industry -- 3. Biomarker-Targeted Confirmatory Trials -- 4. Considerations on Subgroup Analysis in Design and Analysis of Multi-Regional Clinical Trials -- 5. Practical Subgroup Identification Strategies in Late-stage Clinical Trials -- 6. Exploratory Subgroup Identification for Biopharmaceutical Development -- 7. Logical Inference on Treatment Efficacy When Subgroup Exists -- 8. The GUIDE Approach to Subgroup Identification and Inference -- 9. Use of the VG (Virtual Twins Combined with GUIDE) Method in the Development of Precision Medicines -- 10. Subgroups Identification for Tailored Therapies: a System of Methods, a Framework for Consistent Methodology Evaluation, and an Integrated Learn-and-confirm Approach -- 11. Developing and Validating Predictive Classifiers in Randomized Clinical Trials -- 12. Issues Related to Subgroup Analysis -- 13. Subgroup Analysis with Partial Linear Model -- 14. Subgroup Analysis in the 21st Century -- 15. Power of Statistical Tests for Subgroup Analysis in Meta-Analysis -- 16. Heterogeneity and Subgroup Analysis in Network Meta-Analysis.
Contained By:	Springer eBooks
標題:	Drugs - Testing -
電子資源:	https://doi.org/10.1007/978-3-030-40105-4
ISBN:	9783030401054

Design and analysis of subgroups with biopharmaceutical applications
Design and analysis of subgroups with biopharmaceutical applications[electronic resource] /edited by Naitee Ting ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 400 p. :ill., digital ;24 cm. - Emerging topics in statistics and biostatistics,2524-7735. - Emerging topics in statistics and biostatistics..

1. Data-driven and Confirmatory Subgroup Analysis in Clinical Trials -- 2. Subgroup Analysis - A View from Industry -- 3. Biomarker-Targeted Confirmatory Trials -- 4. Considerations on Subgroup Analysis in Design and Analysis of Multi-Regional Clinical Trials -- 5. Practical Subgroup Identification Strategies in Late-stage Clinical Trials -- 6. Exploratory Subgroup Identification for Biopharmaceutical Development -- 7. Logical Inference on Treatment Efficacy When Subgroup Exists -- 8. The GUIDE Approach to Subgroup Identification and Inference -- 9. Use of the VG (Virtual Twins Combined with GUIDE) Method in the Development of Precision Medicines -- 10. Subgroups Identification for Tailored Therapies: a System of Methods, a Framework for Consistent Methodology Evaluation, and an Integrated Learn-and-confirm Approach -- 11. Developing and Validating Predictive Classifiers in Randomized Clinical Trials -- 12. Issues Related to Subgroup Analysis -- 13. Subgroup Analysis with Partial Linear Model -- 14. Subgroup Analysis in the 21st Century -- 15. Power of Statistical Tests for Subgroup Analysis in Meta-Analysis -- 16. Heterogeneity and Subgroup Analysis in Network Meta-Analysis.

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.

ISBN: 9783030401054

Standard No.: 10.1007/978-3-030-40105-4doiSubjects--Topical Terms:

661379
Drugs
--Testing

LC Class. No.: RM301.27 / .D475 2020

Dewey Class. No.: 615.580724

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