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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 i… Plus…

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Biostatistics: A Bayesian Introduction (Wiley Series in Probability and Statistics) - edition reliée, livre de poche

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Biostatistics: A Bayesian Introduction

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.

Informations détaillées sur le livre - Biostatistics: A Bayesian Introduction


EAN (ISBN-13): 9780471468424
ISBN (ISBN-10): 0471468428
Version reliée
Livre de poche
Date de parution: 2004
Editeur: WILEY
384 Pages
Poids: 0,653 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-10-14T14:52:25+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-09-22T13:07:06+02:00 (Zurich)
ISBN/EAN: 0471468428

ISBN - Autres types d'écriture:
0-471-46842-8, 978-0-471-46842-4
Autres types d'écriture et termes associés:
Auteur du livre: wiley series probability and statistics, george, woodworth
Titre du livre: tat, biostatistics, introduction bayesian statistics, introduction probability and statistics, new bayesian


Données de l'éditeur

Auteur: George G. Woodworth
Titre: Wiley Series in Probability and Statistics; Biostatistics - A Bayesian Introduction
Editeur: Wiley-Interscience; John Wiley & Sons
384 Pages
Date de parution: 2004-09-21
Poids: 0,696 kg
Langue: Anglais
182,00 € (DE)
Not available (reason unspecified)
159mm x 240mm x 25mm

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Bayesian Analysis; Bayessches Verfahren; Bayes-Verfahren; Biostatistics; Biostatistik; Statistics; Statistik; Allg. Statistik; Biostatistik; Bayes-Verfahren

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.

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