Buch, Englisch, 206 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 500 g
Reihe: Applied Bioinformatics and Biostatistics in Cancer Research
Perspectives on Current Issues
Buch, Englisch, 206 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 500 g
Reihe: Applied Bioinformatics and Biostatistics in Cancer Research
ISBN: 978-1-4614-0139-1
Verlag: Springer
Statistical methods for clinical trials have been an area of active research in Biostatistics since the first modern clinical trials were mounted in 1946 by the British Medical Research Council in whooping cough and tuberculosis. Often, the participants in clinical trials suffer from potentially fatal chronic diseases, and it is especially important that these experiments in medical research use designs that are efficient, can be understood by physicians, policy makers and patients, respond quickly new ideas in medicine and statistics, and, perhaps above all, show respect for the complex and important ethical issues that arise in these settings.
This book explores some recent thinking in designs for clinical trials, including alternative designs for phase I studies, interim monitoring for futility, adaptive designs based on accumulating outcome data, and designs of new, targeted therapies. The book is intended for both the statistical practitioner, who may be too busy to stay abreast of the literature on statistical methods, as well as statisticians conducting research in clinical trials.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1: New designs for phase I dose finding studies, esp. Bayesian designs
Peter Thall, Barry Storer
Chapter 2: Phase II/III designs for trials.
Cyrus Mehta
Chapter 3: Design issues for clinical studies with genomic measurements
John Quackenbush, Giovanni Parmigiani, Robert Gentleman
Chapter 4: Designing Studies with longitudinal measurements subject to
dropout: Dianne Fairclough
Chapter 5: Issues in sample size re-estimation (to be determined)
Chapter 6: Adaptive Designs
Butch Tsiatis
Chapter 7: The design of non-inferiority trials.
Mark Rothmann, Ralph D'Agostino
Chapter 8: Issues in the design of HIV prevention trials
Steve Lagakos, Els Goetghebeur
Chapter 9: Randomization algorithms (an old topic, but still not
well understood by some practitioners)
Robert Gentleman
Chapter 10: Sequential designs for phase III studies
Cyrus Mehta, Kyungmann Kim
Chapter 11: Case studies of difficult designs
Bob Gray (ECOG breast cancer trials)
Jim Anderson (Pediatric oncology trials)
Chapter 12: Ethical Issues in the design of trials
Stephen Joffe, Dana-Farber ethicist
