Published November, 2009
By Claudio Jose Struchiner, M. Elizabeth Halloran, Ira M. Longini, Ira M. Longini, Jr. and Claudio J. Struchiner
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

As well as being a reference for the design, analysis, and interpretation of vaccine studies, the text covers all design and analysis stages, from vaccine development to post-licensure surveillance, presenting likelihood, frequentists, and Bayesian approaches.

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Published May, 2009
By Timothy L. Lash, Matthew P. Fox and Aliza K. Fink
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
Rating:
Availability: Available

Bias analysis quantifies the influence of systematic error on an epidemiology study's estimate of association. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely.

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Published March, 2009
By Peter Schlattmann
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Statistics for Biology and Health
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Availability: Available

Patients are not alike! This simple truth is often ignored in the analysis of me- cal data, since most of the time results are presented for the "average" patient. As a result, potential variability between patients is ignored when presenting, e.g., the results of a multiple linear regression model.

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Published December, 2008
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
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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 October, 2008
By Ewout W. Steyerberg and Ewout Steyerberg
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Statistics for Biology and Health
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Availability: Available

Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g.

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Published July, 2008
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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Published August, 2007
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 December, 2006
By Antonella Bacchieri and Giovanni Della Cioppa
Publisher: Springer (Springer Verlag)
Series: Statistics for Biology and Health
Rating:
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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