Logistic Regression: A Self-Learning Text, 2/e
暫譯: 邏輯回歸：自學教材，第2版

Bernhardt Fudyma Design Group

Logistic Regression: A Self-Learning Text, 2/e
  • 出版商: Springer
  • 出版日期: 2002-08-12
  • 售價: $1,372
  • 語言: 英文
  • 頁數: 272
  • 裝訂: Hardcover
  • ISBN: 0823055531
  • ISBN-13: 9780387953977
  • 相關分類: 地理資訊系統 Gis

    • 下單後立即進貨 (約5~7天)

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Description

This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in the left column of each page and a script (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This second edition includes five new chapters and an appendix. The new chapters are: Chapter 9. Polytomous Logistic Regression Chapter 10. Ordinal Logistic Regression Chapter 11. Logistic Regression for Correlated Data Chapter 12. GEE Examples Chapter 13. Other Approaches for Analysis of Correlated Data Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11-13 extend logistic regression to generalized estimating equations (GEE) and other methods for analyzing correlated response data. The appendix "Computer Programs for Logistic Regression" provides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The software packages considered are SAS Version 8.0, SPSS Version 10.0 and STATA Version 7.0.
 

 

Table of Contents

Introduction to Logistic Regression * Important Special Cases of the Logistical Model * Computing the Odds Ration in Logistic Regression * Maximum Likelihood Techniques: An Overview * Statistical Inference Using Maximum Likelihood Techniques * Modeling Strategy Guidelines * Modeling Strategy for Assessing Interaction and Confounding * Analysis of Matched Data Using Logistic Regression * Polytomous Logistic Regression * Ordinal Logistic Regression * Logistic Regression for Correlated Data * GEE Examples * Other Approaches for Analysis of Correlated Data

商品描述(中文翻譯)

**描述**

這是有關邏輯迴歸方法的第二版文本。與第一版一樣，每一章都以「講座書籍」格式呈現其主題，並包含目標、大綱、關鍵公式、練習題和測驗。「講座書籍」在每頁的左側欄有一系列插圖和公式，而右側欄則是腳本（即文本）。這種格式使您能夠將腳本與插圖和公式結合起來閱讀，這些插圖和公式突顯了所呈現的主要觀點、公式或範例。這一版新增了五個章節和一個附錄。新增的章節包括：第9章 多類邏輯迴歸、第10章 有序邏輯迴歸、第11章 相關數據的邏輯迴歸、第12章 GEE範例、第13章 相關數據分析的其他方法。第9章和第10章將邏輯迴歸擴展到具有多於兩個類別的反應變數。第11至13章將邏輯迴歸擴展到廣義估計方程（GEE）及其他分析相關反應數據的方法。附錄「邏輯迴歸的電腦程式」提供了執行主文本中描述的各種邏輯迴歸程序的電腦程式的描述和範例。考慮的軟體包包括SAS版本8.0、SPSS版本10.0和STATA版本7.0。

**目錄**

邏輯迴歸簡介 * 邏輯模型的重要特殊情況 * 計算邏輯迴歸中的賠率比 * 最大似然技術：概述 * 使用最大似然技術的統計推斷 * 建模策略指導 * 評估交互作用和混淆的建模策略 * 使用邏輯迴歸分析配對數據 * 多類邏輯迴歸 * 有序邏輯迴歸 * 相關數據的邏輯迴歸 * GEE範例 * 相關數據分析的其他方法

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