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Wiley Series in Probability and Statistics Ser.: Biostatistics : A Bayesian Introduction by George G. Woodworth (2004, Hardcover)

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Biostatistics : A Bayesian Introduction, Hardcover by Woodworth, George G., ISBN 0471468428, ISBN-13 9780471468424, Brand New, Free shipping in the US A textbook to be used in an entry-level undergraduate statistics course for students in the biological sciences. Students are not assumed to have studied calculus, but to be proficient in basic algebra, to have completed a few courses in science and mathematics, and to be able to manipulate computers at the point-and-click level. Annotation ©2004 Book News, Inc., Portland, OR ()

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Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471468428
ISBN-13
9780471468424
eBay Product ID (ePID)
30530047

Product Key Features

Number of Pages
384 Pages
Language
English
Publication Name
Biostatistics : a Bayesian Introduction
Publication Year
2004
Subject
Probability & Statistics / General, Life Sciences / Biology, Probability & Statistics / Bayesian Analysis
Type
Textbook
Author
George G. Woodworth
Subject Area
Mathematics, Science
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover

Dimensions

Item Height
1.1 in
Item Weight
23.4 Oz
Item Length
9.5 in
Item Width
6.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2004-047408
Reviews
"This book should be very useful in the classroom and for interpretation of the literature, and it is thus highly recommended for students, instructors, and investigators." ( The Annals of Pharmcotherapy , July/August 2005) "...a very interesting, well written and...very enjoyable and easy to read book...I highly recommend Biostatistics: A Bayesian Introduction ..." ( Statistical Methods in Medical Research , Vol. 14, 2005) "...suitable for serious students, faculty and researchers, and college libraries supporting biology and biostatistics graduate programs." ( CHOICE , March 2005), "...simply enjoyable...ideal as a reference." ( Journal of the American Statistical Association , June 2007) "This book should be very useful in the classroom and for interpretation of the literature, and it is thus highly recommended for students, instructors, and investigators." ( The Annals of Pharmcotherapy , July/August 2005) "...a very interesting, well written and...very enjoyable and easy to read book...I highly recommend Biostatistics: A Bayesian Introduction ..." ( Statistical Methods in Medical Research , Vol. 14, 2005) "...suitable for serious students, faculty and researchers, and college libraries supporting biology and biostatistics graduate programs." ( CHOICE , March 2005)
Dewey Edition
22
Series Volume Number
499
Illustrated
Yes
Dewey Decimal
519.5/42
Table Of Content
Preface. 1. Introduction to Statistical Science. 2. Probability. 3. Subjective Probability. 4. Distributions and Descriptive Statistics. 5. Statistical Inference. 6. Continuous Probability Distributions. 7. Comparing Two Rates. 8. Inference on Means. 9. Linear Models and Statistical Adjustment. 10. Logistic Regression. 11. Hierarchical Models. 12. Time to Event Analysis. 13. Decision Analysis. A. Tables. B. Introduction to WinBUGS. C. Introduction to SAS System Software Index.
Synopsis
An essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an explosion of interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacology, and public health., An essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an explosion of interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacology, and public health. As an interpretive system integrating data with observation, the Bayesian approach provides a nuanced yet mathematically rigorous means of conceptualizing biomedical statistics from diagnostic tests to DNA evidence. Biostatistics: A Bayesian Introduction offers a pioneering approach by presenting the foundations of biostatistics through the Bayesian lens. Using easily understood, classic Dutch Book thought experiments to derive subjective probability from a simple principle of rationality, the book connects statistical science with scientific reasoning. The author shows how to compute, interpret, and report Bayesian statistical analyses in practice, and illustrates how to reinterpret traditional statistical reporting such as confidence intervals, margins of error, and one-sided p-values in Bayesian terms. Topics covered include: Probability and subjective probability Distributions and descriptive statistics Continuous probability distributions Comparing rates and means Linear models and statistical adjustment Logistic regression and adjusted odds ratios Survival analysis Hierarchical models and meta-analysis Decision theory and sample size determination The book includes extensive problem sets and references in each chapter, as well as complete instructions on computer analysis with the versatile SAS and WinBUGS software packages as well as the Excel spreadsheet program. For professionals and students, Biostatistics: A Bayesian Introduction offers an unique, real-world entry point into a remarkable alternative method of interpreting statistical data., An essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an explosion of interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacology, and public health. As an interpretive system integrating data with observation, the Bayesian approach provides a nuanced yet mathematically rigorous means of conceptualizing biomedical statistics--from diagnostic tests to DNA evidence. Biostatistics: A Bayesian Introduction offers a pioneering approach by presenting the foundations of biostatistics through the Bayesian lens. Using easily understood, classic Dutch Book thought experiments to derive subjective probability from a simple principle of rationality, the book connects statistical science with scientific reasoning. The author shows how to compute, interpret, and report Bayesian statistical analyses in practice, and illustrates how to reinterpret traditional statistical reporting--such as confidence intervals, margins of error, and one-sided p-values--in Bayesian terms. Topics covered include: * Probability and subjective probability * Distributions and descriptive statistics * Continuous probability distributions * Comparing rates and means * Linear models and statistical adjustment * Logistic regression and adjusted odds ratios * Survival analysis * Hierarchical models and meta-analysis * Decision theory and sample size determination The book includes extensive problem sets and references in each chapter, as well as complete instructions on computer analysis with the versatile SAS and WinBUGS software packages as well as the Excel spreadsheet program. For professionals and students, Biostatistics: A Bayesian Introduction offers an unique, real-world entry point into a remarkable alternative method of interpreting statistical data.
LC Classification Number
QA279.5.W66 2005

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Wiley Series in Probability and Statistics Ser.: Biostatistics : A Bayesian Introduction by George G. Woodworth (2004, Hardcover)

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