Statistical Advances in the Biomedical Sciences (eBook)

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.

"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)