Published December, 2010
By Daniel Sorensen and Daniel Gianola
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating: 1.00
Availability: Available

This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits.

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Published November, 2010
By Lemuel A. Moye
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

Concentrating on the rationale for the analyses, the difficulties posed by their interpretation, easily understood solutions, and useful problem sets, this book will help clinical investigators understand multiple analysis procedures and key issues.

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Published November, 2010
By Kenneth G. Manton, Igor Akushevich, Julia Kravchenko and K.G. Manton
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

The purpose of this book is to examine the etiology of cancer in large human populations using mathematical models developed from an inter-disciplinary perspective of the population epidemiological, biodemographic, genetic and physiological basis of the mechanisms of cancer initiation and progression.

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Published November, 2010
By Warren J. Ewens and Gregory R. Grant
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

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Published November, 2010
By Rongling Wu, George Casella, Changxing Ma and Ma Changxing
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields.

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Published November, 2010
By Odd Aalen, Ornulf Borgan and Hakon Gjessing
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. they allow sensible interpretations of a number of surprising artifacts seen in population data. The stochastic process framework is naturally connected to causality.

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Published November, 2010
By Richard J. Cook, Jerald F. Lawless and Jerald Lawless
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

This book presents models and statistical methods for the analysis of recurrent event data. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions.

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Published November, 2010
By Naitee Ting
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

Dosing information on drug labels is based on discussion between the pharmaceutical manufacturer and the drug regulatory agency, and the label is a summary of results obtained from many scientific experiments.

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Published November, 2010
By David Siegmund and Benjamin Yakir
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans.

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Published November, 2010
By Nicole A. Lazar and Nicole Lazar
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements ("If your brain has a 'buy button,' what pushes it?", The New York Times,October19,2004),howviewersrespondtocampaignads("Using M.

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