Biostatistics: A Bayesian Introduction
暫譯: 生物統計學:貝葉斯入門

George G. Woodworth

  • 出版商: Wiley
  • 出版日期: 2004-09-01
  • 售價: $1,400
  • 貴賓價: 9.8$1,372
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Hardcover
  • ISBN: 0471468428
  • ISBN-13: 9780471468424
  • 相關分類: 機率統計學 Probability-and-statistics
  • 下單後立即進貨 (約5~7天)

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商品描述

Description:

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.

 

Table of Contents:

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.

商品描述(中文翻譯)

**描述:**
一本將傳統生物統計學與貝葉斯方法連結的基本入門書籍。近年來,貝葉斯方法受到廣泛關注,應用於生物化學、生態學、醫學、腫瘤學、藥理學和公共衛生等領域。作為一種將數據與觀察整合的詮釋系統,貝葉斯方法提供了一種細緻且數學上嚴謹的方式來概念化生物醫學統計——從診斷測試到DNA證據。《生物統計學:貝葉斯入門》通過貝葉斯的視角呈現生物統計學的基礎,提供了一種開創性的方式。書中使用易於理解的經典荷蘭書籍思維實驗,從一個簡單的理性原則推導出主觀概率,將統計科學與科學推理相連結。作者展示了如何在實踐中計算、解釋和報告貝葉斯統計分析,並說明如何用貝葉斯的術語重新詮釋傳統的統計報告——例如置信區間、誤差範圍和單側p值。涵蓋的主題包括:
* 概率與主觀概率
* 分佈與描述性統計
* 連續概率分佈
* 比較比率與均值
* 線性模型與統計調整
* 邏輯回歸與調整後的比值比
* 生存分析
* 階層模型與統合分析
* 決策理論與樣本大小確定
本書在每一章中都包含大量的習題和參考資料,以及使用多功能的SAS和WinBUGS軟體包以及Excel電子表格程式進行計算分析的完整指導。對於專業人士和學生來說,《生物統計學:貝葉斯入門》提供了一個獨特的、現實世界的切入點,進入一種卓越的替代方法來詮釋統計數據。

**目錄:**
前言。
1. 統計科學導論。
2. 概率。
3. 主觀概率。
4. 分佈與描述性統計。
5. 統計推斷。
6. 連續概率分佈。
7. 比較兩個比率。
8. 均值推斷。
9. 線性模型與統計調整。
10. 邏輯回歸。
11. 階層模型。
12. 事件時間分析。
13. 決策分析。
A. 表格。
B. WinBUGS入門。
C. SAS系統軟體入門。
索引。

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