Biostatistics
A Bayesian Introduction
Seiten
2005
John Wiley & Sons Inc (Hersteller)
9780471684831 (ISBN)
John Wiley & Sons Inc (Hersteller)
9780471684831 (ISBN)
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Presenting an introductory text linking traditional biostatistics with bayesian methods, this work presents the foundations of biostatistics through the Bayesian lens. It shows how to compute, interpret, and report Bayesian statistical analyses in practice, and illustrates how to reinterpret traditional statistical reporting.
This is an essential introductory text linking traditional biostatistics with bayesian methods. It 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.
This is an essential introductory text linking traditional biostatistics with bayesian methods. It 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.
| Erscheint lt. Verlag | 11.11.2005 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| ISBN-13 | 9780471684831 / 9780471684831 |
| Zustand | Neuware |
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