Description
Clinical Trials in Oncology, Third Edition (3rd Ed.)
Chapman & Hall/CRC Interdisciplinary Statistics Series
Authors: Green Stephanie, Benedetti Jacqueline, Smith Angela, Crowley John
Language: EnglishSubjects for Clinical Trials in Oncology, Third Edition:
Keywords
Data Monitoring Committee; Interim Analyses; Statistical Concepts; Progression Free Survival; The Design of Clinical Trials; SWOG S7924; Data Management and Quality Control; Survival Distributions; Reporting of Results; Null Hypothesis; Exploratory Analyses; Southwest Oncology Group; Single Arm Trials; Multi-arm Trial; Logrank Test; Institutional Review Board; Hazard Ratio; Sample Size Calculation; Cancer Clinical Trials; SWOG Study; Stratification Factors; Confidence Interval; Poor Risk Patients; DLT; Accelerated Titration Designs; Mtd Estimate; Portal Vein Infusion; Patient Experience DLTs; Phase Ii; True Response Probability
73.59 €
In Print (Delivery period: 14 days).
Add to cart the book of Green Stephanie, Benedetti Jacqueline, Smith Angela, Crowley JohnPublication date: 10-2016
· 15.6x23.4 cm · Paperback
190.51 €
In Print (Delivery period: 15 days).
Add to cart the book of Green Stephanie, Benedetti Jacqueline, Smith Angela, Crowley JohnPublication date: 06-2012
262 p. · 15.6x23.4 cm · Hardback
Description
/li>Contents
/li>Readership
/li>Biography
/li>
The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III. New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data.
Although this book focuses on cancer trials, the same issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Armed with Clinical Trials in Oncology, Third Edition, clinicians and statisticians can avoid the many hazards that can jeopardize the success of a trial.