Description

This special book of “Statistics in Clinical Oncology” provides insights into the current state of drug development in oncology, highlighting new areas of research and areas where improvements can be achieved with respect to shortening the trial duration and expediting drug development. The chapters in this book provide examples from recent drug approvals or completed trials in order to illustrate potential solutions to the problems being discussed. The book illustrates ideas on how regulators, academic institutions, industry, and different stakeholders can work together to bring new drugs to the market in a timely fashion while adhering to ethical and scientific requirements in medical research. The book presents up-to-date statistical approaches to the design and analysis of oncology clinical trials. New topics in this edition include trial designs for targeted agents, Bayesian trial design, and the inclusion of high-dimensional data and imaging techniques. This edition also contains numerous figures and examples to better explain concepts. This book compiles state-of-the-art statistical approaches to solving problems in clinical oncology, as well as quality of life and economic analyses, and exploratory methods. it considers analytical problems generated by controlling treatment costs and maintaining quality of life. The best single source for up-to-date graphical, tree-based, and other statistical methods, the Handbook of Statistics in Clinical Oncology is fascinating reading for oncologists, cancer researchers, biostatisticians, applied statisticians, and medical and graduate students in these disciplines.