Modern clinical trial analysis [digital]
- Wan Tang, Xin Tu, editors.
- New York, NY : Springer, c2013.
- Physical description
- online resource (ix, 253 pages) : illustrations (some color)
- Includes bibliographical references and author index.
- Survival Analysis / Changyong Feng, Yu Han, Pan Wu and Xin Tu
- Longitudinal Data Analysis / Wan Tang, Naiji Lu, Rui Chen and Hui Zhang
- Assessment of Diagnostic Tests and Instruments / Hua He, Douglas Gunzler, Yan Ma and Yinglin Xia
- Analysis of Sequential Clinical Trials / W. Jackson Hall
- Dynamic Treatment Regimes / Min Qian, Inbal Nahum-Shani and Susan A. Murphy
- Statistical Issues with Trial Data and Economic Modeling for Cost-Effectiveness Evaluation / Kathleen A. Boyd, Andrew H. Briggs, Pierre Ducournau, Marlene Gyldmark and Frederic de Reydet, et al.
- Active-Controlled Clinical Trials / Yi Tsong and Joanne Zhang
- Thorough QT/QTc Clinical Trials / Yi Tsong and Jinglin Zhong
- Causal Inference in Cancer Clinical Trials / Babette A. Brumback and Wendy B. London
- Changing Paradigms in Cancer Clinical Trials / Jeanne Kowalski and William Matsui.
- This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to modern issues by stepping through diagnostic test and instrument assessment, sequential and dynamic treatment regimen, cost-effectiveness evaluation, equivalence testing. As some type of cancer such as the effect of smoking on lung cancer cannot be studied using randomized trials, a chapter on analysis of non-randomized studies is also included. The book concludes with a chapter discussing the opportunities and challenges that lie ahead in developing on person-centered treatment regimens. The book provides an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out the analyses. Medical researchers with some background in clinical trial design and regression analysis as well as biostatisticians will find this book informative and helpful.
- Publication date
- Applied bioinformatics and biostatistics in cancer research
- 9781461443216 (hard cover : alk. paper)
- 1461443210 (hard cover : alk. paper)
- 1461443229 (electronic bk.)
- 9781461443223 (electronic bk.)