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Design and Analysis of Subgroups with Biopharmaceutical Applications

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Cover of 'Design and Analysis of Subgroups with Biopharmaceutical Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Issues Related to Subgroup Analyses and Use of Intensive Stratification
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    Chapter 2 Biomarker-Targeted Confirmatory Trials
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    Chapter 3 Data-Driven and Confirmatory Subgroup Analysis in Clinical Trials
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    Chapter 4 Considerations on Subgroup Analysis in Design and Analysis of Multi-Regional Clinical Trials
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    Chapter 5 Practical Subgroup Identification Strategies in Late-Stage Clinical Trials
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    Chapter 6 The GUIDE Approach to Subgroup Identification
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    Chapter 7 A Novel Method of Subgroup Identification by Combining Virtual Twins with GUIDE (VG) for Development of Precision Medicines
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    Chapter 8 Subgroup Identification for Tailored Therapies: Methods and Consistent Evaluation
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    Chapter 9 A New Paradigm for Subset Analysis in Randomized Clinical Trials
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    Chapter 10 Logical Inference on Treatment Efficacy When Subgroups Exist
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    Chapter 11 Subgroup Analysis with Partial Linear Regression Model
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    Chapter 12 Exploratory Subgroup Identification for Biopharmaceutical Development
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    Chapter 13 Statistical Learning Methods for Optimizing Dynamic Treatment Regimes in Subgroup Identification
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    Chapter 14 Subgroups in Design and Analysis of Clinical Trials, General Considerations
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    Chapter 15 Subgroup Analysis: A View from Industry
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    Chapter 16 Subgroup Analysis from Bayesian Perspectives
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    Chapter 17 Power of Statistical Tests for Subgroup Analysis in Meta-Analysis
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    Chapter 18 Heterogeneity and Subgroup Analysis in Network Meta-Analysis
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Title
Design and Analysis of Subgroups with Biopharmaceutical Applications
Published by
Springer International Publishing, May 2020
DOI 10.1007/978-3-030-40105-4
ISBNs
978-3-03-040104-7, 978-3-03-040105-4
Editors

Ting, Naitee, Cappelleri, Joseph C., Ho, Shuyen, Chen, (Din) Ding-Geng

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