Published January, 2016
By Lanju Zhang, Ian Peers, Stan Altan and Max Kuhn
Publisher: Springer (Springer International Publishing AG)
Series: Statistics for Biology and Health
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Availability: Available

This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right.

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Published August, 2015
By Daniel Zelterman
Publisher: Springer (Springer International Publishing)
Series: Statistics for Biology and Health
Rating:
Availability: Not available (reason unspecified)

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Published February, 2015
By Bibhas Chakraborty, Erica E. M. Moodie and Erica E.M. Moodie
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
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Availability: Available

Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine.

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Published November, 2014
By Antonella Bacchieri and Giovanni Della Cioppa
Publisher: Springer (Springer Verlag)
Series: Statistics for Biology and Health
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Availability: Available

Here is a new book on methods and issues in clinical research. Integrate medical and statistical components of clinical research. Give space to the ethical implications of methodological issues in clinical research. The book ends with a brief description of the drug development process and the phases of clinical development.

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Published October, 2014
By Weili He, Jose C. Pinheiro, Olga M. Kuznetsova and José Pinheiro
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
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Availability: Available

Practical Considerations for Adaptive Trial Design and Implementation

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Published April, 2014
By Thomas Hamelryck, Jesper Ferkinghoff-Borg and Kanti Mardia
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Statistics for Biology and Health
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Availability: Available

This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis).

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Published April, 2014
By Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski and Charles E. McCulloch
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
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Availability: Available

This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.

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Published January, 2014
By Klaus Krickeberg, Van Trong Pham and Thi My Hanh Pham
Publisher: Springer (Springer New York)
Series: Statistics for Biology and Health
Rating:
Availability: Not available (reason unspecified)

This book offers an introduction to epidemiology suitable for Medical and Public Health Schools in developing and transition countries and in workshops in these countries, based on examples and practical work drawn from the present state of health in Vietnam.

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Published January, 2014
By Jong-Hyeon Jeong
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
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Availability: Available

This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it is a natural concept for summarizing survival or reliability data.

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Published November, 2013
By Daniel O. Stram and Daniel Stram
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects.

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