Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials, both early and late phase of development. It illustrates how novel statistical methods can enrich the design and analysis of modern oncology trials. The authors include many relevant real life examples from the pharmaceutical industry and academia based on their first-hand experience. Along with relevant references, the book highlights current regulatory views.
The book covers all aspects of cancer clinical trial starting from early phase development. The early part of the book covers novel phase I dose escalation design, exposure response analysis, and innovative phase II design. This includes early development strategy for cancer immunotherapy trials. The contributors also emphasized the role of biomarker and modern era of precision medicine. The second part focuses on the late stage development. This includes the application of adaptive design, safety analysis, and quality of life (QoL) data analysis. The final part discusses current regulatory perspective and challenges.
- Covers a wide spectrum of topics related to real-life statistical challenges in oncology clinical trials.
- Provides a comprehensive overview of novel statistical methods to improve trial design and statistical analysis.
- Detailed case studies illustrate the real life applications.
Satrajit Roychoudhury is a Senior Director and a member of the Statistical Research and Innovation group in Pfizer Inc. Prior to joining; he was a member of Statistical Methodology and consulting group in Novartis. He has 11 years of extensive experience in working with different phases of clinical trial. His area of research includes early phase oncology trials, survival analysis, model informed drug development, and use of Bayesian methods in clinical trials. He is industry co-chair for the ASA Biopharmaceutical Section Regulatory-Industry Workshop and has provided statistical training in major conferences including the Joint Statistical Meetings, ASA Biopharmaceutical Section Regulatory-Industry Workshop, and ICSA Applied Statistics Symposium.
Soumi Lahiri has 12 years of extensive experience in working different therapeutic areas. She is the former Director of Biostatistics in Clinical Oncology, GlaxoSmithKline. She has also worked in the oncology division of Novartis Pharmaceutical Company for two years. She is an active member of the ASA Biopharmaceutical section and former chair of the membership committee.
2. Statistical Considerations in Phase I Oncology Trials
[Simon Wandel and Satrajit Roychoudhury]
3. Exposure–Response Analysis in Oncology Trials
[Yi-Lin Chiu and Balakrishna S. Hosmane]
4. Statistical Measures of Interaction for Evaluating a Predictive
5. Design Considerations for Phase II Oncology Clinical Trials
[Jared C. Foster, Jennifer Le-Rademacher, and Sumithra J. Mandrekar]
6. Precision Medicine and Associated Challenges
[Rajesh Talluri and Sanjay S. Shete]
7. Use of Adaptive Design in Late-Stage Oncology Trials
[Satrajit Roychoudhury, Arunava Chakravartty, and Pabak Mukhopadhyay]
8. Safety Monitoring and Analysis in Oncology Trials
[Anastasia Ivanova, Qi Jiang, Olga Marchenko, and Richard C. Zink]
9. Quality of Life
10. Impact of Evolving Regulatory Pathways on Statistical
Considerations in Oncology Clinical Trials
"This book is an excellent compilation of chapters from a variety of authors coming from pharmaceutical companies, academia, and even one from the food and drug administration (FDA) to inform readers about the current paradigm in oncology clinical trials. The chapters dive much deeper than the standard, parallel, randomized, controlled trials that we may expect in phase III and instead start with phase I development, move into phases II and III, and then consider quality of life (QOL) and regulatory concerns. Thus, reading chronologically, the book offers a generous overview spanning oncology drug development; each chapter, however, could be read in isolation to understand that particular phase of trial design or subject matter."
~Kelley M. Kidwell, Biometrics Journal
"The book covers all aspects of statistics for clinical oncology, including statistical considerations in phase I oncology trials, response analysis in oncology trials, and statistical measures of interaction for evaluating a predictive biomarker. The book also explores design considerations for phase II oncology clinical trials, precision medicine and its associated challenges, use of adaptive designs in late-stage oncology trials, and safety monitoring."
~Luca Bertolaccini, ISCB