Biswas / Datta / Fine Statistical Advances in the Biomedical Sciences

Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
1. Auflage 2008
ISBN: 978-0-470-18119-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 616 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

The Most Comprehensive and Cutting-Edge Guide to StatisticalApplications in Biomedical Research
With the increasing use of biotechnology in medical research andthe sophisticated advances in computing, it has become essentialfor practitioners in the biomedical sciences to be fully educatedon the role statistics plays in ensuring the accurate analysis ofresearch findings. Statistical Advances in the Biomedical Sciencesexplores the growing value of statistical knowledge in themanagement and comprehension of medical research and, morespecifically, provides an accessible introduction to thecontemporary methodologies used to understand complex problems inthe four major areas of modern-day biomedical science: clinicaltrials, epidemiology, survival analysis, and bioinformatics.
Composed of contributions from eminent researchers in the field,this volume discusses the application of statistical techniques tovarious aspects of modern medical research and illustrates howthese methods ultimately prove to be an indispensable part ofproper data collection and analysis. A structural uniformity ismaintained across all chapters, each beginning with an introductionthat discusses general concepts and the biomedical problem underfocus and is followed by specific details on the associatedmethods, algorithms, and applications. In addition, each chapterprovides a summary of the main ideas and offers a concludingremarks section that presents novel ideas, approaches, andchallenges for future research.
Complete with detailed references and insight on the futuredirections of biomedical research, Statistical Advances in theBiomedical Sciences provides vital statistical guidance topractitioners in the biomedical sciences while also introducingstatisticians to new, multidisciplinary frontiers of application.This text is an excellent reference for graduate- and PhD-levelcourses in various areas of biostatistics and the medical sciencesand also serves as a valuable tool for medical researchers,statisticians, public health professionals, andbiostatisticians.

Autoren/Hrsg.

Biswas, Atanu

Datta, Sujay

Fine, Jason P.

Segal, Mark R.

Über Autor(innen)

Atanu Biswas, PhD, is Assistant Professor in the AppliedStatistics Unit at the Indian Statistical Institute, Kolkata inIndia. Dr. Biswas has authored more than eighty published articlesand also serves as Associate Editor of several journals, includingSequential Analysis and Communications in Statistics. He is therecipient of the M.N. Murthy Award for his research in appliedstatistics. Sujay Datta, PhD, is Associate Professor in theDepartment of Mathematics and Computer Science at Northern MichiganUniversity and Visiting Research Scientist in the Department ofStatistics at TexasA&M University, where he is part of abioinformatics research program sponsored by the NationalInstitutes of Health. Dr. Datta's research interests includehigh-throughput data, genomics, and models based ongraphs/networks. Jason P. Fine, PhD, is Associate Professor in theDepartment of Statistics at the University of Wisconsin-Madison andalso serves as Associate Editor of several journals, includingBiometrics, Biostatistics, and the Scandinavian Journal ofStatistics. Mark R. Segal, PhD, is Professor in the Department ofEpidemiology and Biostatistics at the University of California, SanFrancisco. A Fellow of the American Statistical Association, Dr.Segal has published extensively and currently focuses his researchin the area of bioinformatics.