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Crowley, John

Frontiers of Biostatistical Methods and Applications in Clinical Oncology

Crowley, John - Frontiers of Biostatistical Methods and Applications in Clinical Oncology, ebook

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ISBN: 9789811001260
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Table of contents

1. Challenges for Biometry in 21st Century Oncology
Richard Simon

2. Statistical Challenges with the Advances in Cancer Therapies
Rajeshwari Sridhara

3. Random Walk and Parallel Crossing Bayesian Optimal Interval Design for Dose Finding with Combined Drugs
Ruitao Lin, Guosheng Yin

4. A Comparative Study of Model-Based Dose-Finding Methods for Two-Agent Combination Trials
Akihiro Hirakawa, Hiroyuki Sato

5. Evaluation of Safety in Biomarker Driven Multiple Agent Phase IB Trial
Motomi Mori, Racky Daffé, Byung S. Park, Jeffrey Tyner

6. Bayesian Phase II Single-Arm Designs
Satoshi Teramukai

7. Phase III Clinical Trial Designs Incorporating Predictive Biomarkers: An Overview
Shigeyuki Matsui

8. Bayesian, Utility-Based, Adaptive Enrichment Designs with Frequentist Error Control
Noah Simon

9. Evaluating Personalized Medicine in Multi-marker Multi-treatment Clinical Trials: Accounting for Heterogeneity
Xavier Paoletti, Stefan Michiels

10. The Probability of Being in Response Function and Its Applications
Wei Yann Tsai, Xiaodong Luo, John Crowley

11. Cure-Rate Survival Models and Their Application to Cancer Clinical Trials
Megan Othus, Alan Mitchell, Bart Barlogie, Gareth Morgan, John Crowley

12. Evaluation of Surrogate Endpoints Using a Meta-Analysis Approach with Individual Patient Data: Summary of a Gastric Cancer Meta-Analysis Project
Koji Oba, Xavier Paoletti

13. Machine Learning Techniques in Cancer Prognostic Modeling and Performance Assessment
Yiyi Chen, Jess A. Millar

14. Optimal Three-Group Splits Based on a Survival Outcome
John Crowley, Alan Mitchell, Pingping Qu, Gareth Morgan, Bart Barlogie

15. A Smooth Basis for Clinical Subgroup Analysis
Michael LeBlanc

16. Meta-Analysis of Prognostic Studies Evaluating Time-Dependent Diagnostic and Predictive Capacities of Biomarkers
Satoshi Hattori, Xiao-Hua Zhou

17. Statistical Methodology and Engineering for Next Generation Clinical Risk Calculators
Donna Pauler Ankerst, Andreas Strobl, Sonja Grill

18. Evaluation of Cancer Risk in Epidemiologic Studies with Genetic and Molecular Data
Aya Kuchiba

19. Effect of Helicobacter pylori Eradication on Gastric Cancer Prevention in Korea: A Randomized Controlled Clinical Trial
Jin Young Park, Byung-Ho Nam, Rolando Herrero, Il Ju Choi

20. Contemporary Evaluation of Breast Cancer Screening
William E. Barlow

21. Mediation Analysis for Multiple Causal Mechanisms
Masataka Taguri

22. Sample Size Calculation for Differential Expression Analysis of RNA-Seq Data
Stephanie Page Hoskins, Derek Shyr, Yu Shyr

23. Efficient Study Designs and Semiparametric Inference Methods for Developing Genomic Biomarkers in Cancer Clinical Research
Hisashi Noma

24. Supervised Dimension-Reduction Methods for Brain Tumor Image Data Analysis
Atsushi Kawaguchi

25. An Evaluation of Gene Set Analysis for Biomarker Discovery with Applications to Myeloma Research
Pingping Qu, Erming Tian, Bart Barlogie, Gareth Morgan, John Crowley

Keywords: Statistics, Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law

Editor
 
Publisher
Springer
Publication year
2017
Language
en
Edition
1
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9789811001260
Printed ISBN
978-981-10-0124-6

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