Statistical Advances in the Biomedical Sciences (eBook)

Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics

Atanu Biswas, Sujay Datta, Jason P. Fine, Mark R. Segal (Herausgeber)

eBook Download: PDF

2008 | 1. Auflage
616 Seiten
John Wiley & Sons (Verlag)
978-0-470-18119-5 (ISBN)

Infos

The Most Comprehensive and Cutting-Edge Guide to Statistical
Applications in Biomedical Research

With the increasing use of biotechnology in medical research and
the sophisticated advances in computing, it has become essential
for practitioners in the biomedical sciences to be fully educated
on the role statistics plays in ensuring the accurate analysis of
research findings. Statistical Advances in the Biomedical Sciences
explores the growing value of statistical knowledge in the
management and comprehension of medical research and, more
specifically, provides an accessible introduction to the
contemporary methodologies used to understand complex problems in
the four major areas of modern-day biomedical science: clinical
trials, epidemiology, survival analysis, and bioinformatics.

Composed of contributions from eminent researchers in the field,
this volume discusses the application of statistical techniques to
various aspects of modern medical research and illustrates how
these methods ultimately prove to be an indispensable part of
proper data collection and analysis. A structural uniformity is
maintained across all chapters, each beginning with an introduction
that discusses general concepts and the biomedical problem under
focus and is followed by specific details on the associated
methods, algorithms, and applications. In addition, each chapter
provides a summary of the main ideas and offers a concluding
remarks section that presents novel ideas, approaches, and
challenges for future research.

Complete with detailed references and insight on the future
directions of biomedical research, Statistical Advances in the
Biomedical Sciences provides vital statistical guidance to
practitioners in the biomedical sciences while also introducing
statisticians to new, multidisciplinary frontiers of application.
This text is an excellent reference for graduate- and PhD-level
courses in various areas of biostatistics and the medical sciences
and also serves as a valuable tool for medical researchers,
statisticians, public health professionals, and
biostatisticians.

Autor

Atanu Biswas, PhD, is Assistant Professor in the Applied Statistics Unit at the Indian Statistical Institute, Kolkata in India. Dr. Biswas has authored more than eighty published articles and also serves as Associate Editor of several journals, including Sequential Analysis and Communications in Statistics. He is the recipient of the M.N. Murthy Award for his research in applied statistics. Sujay Datta, PhD, is Associate Professor in the Department of Mathematics and Computer Science at Northern Michigan University and Visiting Research Scientist in the Department of Statistics at TexasA&M University, where he is part of a bioinformatics research program sponsored by the National Institutes of Health. Dr. Datta's research interests include high-throughput data, genomics, and models based on graphs/networks. Jason P. Fine, PhD, is Associate Professor in the Department of Statistics at the University of Wisconsin-Madison and also serves as Associate Editor of several journals, including Biometrics, Biostatistics, and the Scandinavian Journal of Statistics. Mark R. Segal, PhD, is Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco. A Fellow of the American Statistical Association, Dr. Segal has published extensively and currently focuses his research in the area of bioinformatics.

Rezensionen

"Statistical Advances in the Biomedical Sciences provides
vital statistical guidance to practioners in the biomedical
sciences while also introducing statisticians to new,
multidisciplinary frontiers of application. This text is an
excellent reference for graduate - and Ph.D.-level courses in
various areas of biostatistics and the medical sciences and also
serves as a valuable tool for medical researchers, statisticians,
public health professionals, and biostatisticians."
(Mathematical Reviews, Issue 2009f)

"Statistical Advances in the Biomedical Sciences provides vital
statistical guidance to practioners in the biomedical sciences
while also introducing statisticians to new, multidisciplinary
frontiers of application. This text is an excellent reference
for graduate - and Ph.D.-level courses in various areas of
biostatistics and the medical sciences and also serves as a
valuable tool for medical researchers, statisticians, public health
professionals, and biostatisticians." (Mathematical Reviews,
Issue 2009f)

"The authors have done an excellent job of meeting the objective
they put forward in the preface. They have produced an
authoritative volume of readable chapters ... The chapters are
written well and will be understandable to graduate students in
biostatistics and statistics. The book will have an important
place as a reference book on the shelf of many professional
biostatisticians working in a biomedical research
environment. Additionally, it should be useful as a special
topics text for graduate students in biostatistics and statistics
graduate programs." (Biometrics, Dec 2008)

Produkt-Details

• Erscheint lt. Verlag: 28.6.2008
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Informatik ► Weitere Themen ► Bioinformatik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
• Themenwelt: Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
• Themenwelt: Technik ► Medizintechnik
• Schlagworte: Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Applied Probability & Statistics • Biomedizin • Clinical Trials • Epidemiologie • Klinische Studien • Medical Statistics & Epidemiology • Medizinische Statistik u. Epidemiologie • Statistics • Statistik
• ISBN-10: 0-470-18119-2 / 0470181192
• ISBN-13: 978-0-470-18119-5 / 9780470181195