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Frontiers of Biostatistical Methods and Applications in Clinical Oncology

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Cover of 'Frontiers of Biostatistical Methods and Applications in Clinical Oncology'

Table of Contents

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    Book Overview
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    Chapter 1 Challenges for Biometry in 21st Century Oncology
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    Chapter 2 Statistical Challenges with the Advances in Cancer Therapies
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    Chapter 3 Random Walk and Parallel Crossing Bayesian Optimal Interval Design for Dose Finding with Combined Drugs
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    Chapter 4 A Comparative Study of Model-Based Dose-Finding Methods for Two-Agent Combination Trials
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    Chapter 5 Evaluation of Safety in Biomarker Driven Multiple Agent Phase IB Trial
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    Chapter 6 Bayesian Phase II Single-Arm Designs
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    Chapter 7 Phase III Clinical Trial Designs Incorporating Predictive Biomarkers: An Overview
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    Chapter 8 Bayesian, Utility-Based, Adaptive Enrichment Designs with Frequentist Error Control
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    Chapter 9 Evaluating Personalized Medicine in Multi-marker Multi-treatment Clinical Trials: Accounting for Heterogeneity
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    Chapter 10 The Probability of Being in Response Function and Its Applications
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    Chapter 11 Cure-Rate Survival Models and Their Application to Cancer Clinical Trials
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    Chapter 12 Evaluation of Surrogate Endpoints Using a Meta-Analysis Approach with Individual Patient Data: Summary of a Gastric Cancer Meta-Analysis Project
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    Chapter 13 Machine Learning Techniques in Cancer Prognostic Modeling and Performance Assessment
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    Chapter 14 Optimal Three-Group Splits Based on a Survival Outcome
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    Chapter 15 A Smooth Basis for Clinical Subgroup Analysis
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    Chapter 16 Meta-Analysis of Prognostic Studies Evaluating Time-Dependent Diagnostic and Predictive Capacities of Biomarkers
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    Chapter 17 Statistical Methodology and Engineering for Next Generation Clinical Risk Calculators
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    Chapter 18 Evaluation of Cancer Risk in Epidemiologic Studies with Genetic and Molecular Data
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    Chapter 19 Effect of Helicobacter pylori Eradication on Gastric Cancer Prevention in Korea: A Randomized Controlled Clinical Trial
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    Chapter 20 Contemporary Evaluation of Breast Cancer Screening
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    Chapter 21 Mediation Analysis for Multiple Causal Mechanisms
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    Chapter 22 Sample Size Calculation for Differential Expression Analysis of RNA-Seq Data
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    Chapter 23 Efficient Study Designs and Semiparametric Inference Methods for Developing Genomic Biomarkers in Cancer Clinical Research
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    Chapter 24 Supervised Dimension-Reduction Methods for Brain Tumor Image Data Analysis
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    Chapter 25 An Evaluation of Gene Set Analysis for Biomarker Discovery with Applications to Myeloma Research
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Title
Frontiers of Biostatistical Methods and Applications in Clinical Oncology
Published by
Springer Singapore, January 2019
DOI 10.1007/978-981-10-0126-0
ISBNs
978-9-81-100126-0, 978-9-81-100124-6
Editors

Shigeyuki Matsui, John Crowley

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The data shown below were collected from the profiles of 2 X users 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 12%
Researcher 4 12%
Professor > Associate Professor 4 12%
Student > Master 4 12%
Student > Bachelor 3 9%
Other 7 21%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Computer Science 3 9%
Agricultural and Biological Sciences 2 6%
Mathematics 2 6%
Immunology and Microbiology 1 3%
Other 9 26%
Unknown 8 24%