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Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics

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Cover of 'Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Optimal Biomarker-Guided Design for Targeted Therapy with Imperfectly Measured Biomarkers
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    Chapter 2 Statistical Considerations for Evaluating Prognostic Biomarkers: Choosing Optimal Threshold
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    Chapter 3 Accuracy of Meta-Analysis Using Different Levels of Diagnostic Accuracy Measures
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    Chapter 4 Bayesian Frailty Models for Multi-State Survival Data
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    Chapter 5 Bayesian Integration of In Vitro Biomarker to Analysis of In Vivo Safety Assessment
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    Chapter 6 A Phase II Trial Design with Bayesian Adaptive Covariate-Adjusted Randomization
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    Chapter 7 Sample Size Allocation in a Dose-Ranging Trial Combined with PoC
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    Chapter 8 Personalized Effective Dose Selection in Dose Ranging Studies
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    Chapter 9 Evaluation of Consistency Requirements in Multi-Regional Clinical Trials with Different Endpoints
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    Chapter 10 A Statistical Decision Framework Applicable to Multipopulation Tailoring Trials
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    Chapter 11 Assessing Benefit and Consistency of Treatment Effect Under a Discrete Random Effects Model in Multiregional Clinical Trials
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    Chapter 12 Design and Analysis of Multiregional Clinical Trials in Evaluation of Medical Devices: A Two-Component Bayesian Approach for Targeted Decision Making
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    Chapter 13 Semiparametric Analysis of Interval-Censored Survival Data with Median Regression Model
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    Chapter 14 Explained Variation for Correlated Survival Data Under the Proportional Hazards Mixed-Effects Model
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    Chapter 15 Some Misconceptions on the Use of Composite Endpoints
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    Chapter 16 A Statistical Model for Risk-Based Monitoring of Clinical Trials
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    Chapter 17 Blinded Safety Signal Monitoring for the FDA IND Reporting Final Rule
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    Chapter 18 Design and Statistical Analysis of Multidrug Combinations in Preclinical Studies and Phase I Clinical Trials
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    Chapter 19 Statistical Methods for Analytical Comparability
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    Chapter 20 Statistical Applications for Biosimilar Product Development
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    Chapter 21 A Statistical Method for Change-Set Analysis
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    Chapter 22 An Alarm System for Flu Outbreaks Using Google Flu Trend Data
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    Chapter 23 Identifying Gene-Environment Interactions with a Least Relative Error Approach
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    Chapter 24 Partially Supervised Sparse Factor Regression For Multi-Class Classification
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    Chapter 25 A Bivariate Random-Effects Copula Model for Length of Stay and Cost
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Title
Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-42568-9
ISBNs
978-3-31-942567-2, 978-3-31-942568-9
Editors

Jianchang Lin, Bushi Wang, Xiaowen Hu, Kun Chen, Ray Liu

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 11%
Professor 1 6%
Other 1 6%
Lecturer > Senior Lecturer 1 6%
Researcher 1 6%
Other 1 6%
Unknown 11 61%
Readers by discipline Count As %
Engineering 2 11%
Environmental Science 1 6%
Mathematics 1 6%
Unspecified 1 6%
Immunology and Microbiology 1 6%
Other 1 6%
Unknown 11 61%