Logistic Regression: A Self-Learning Text, 2/e

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

這是關於邏輯回歸方法的第二版教材。與第一版一樣，每個章節都以“講義書”的形式呈現，包括目標、大綱、關鍵公式、練習題和測驗。這本“講義書”在每頁的左欄中有一系列插圖和公式，右欄則是腳本（即文本）。這種格式讓您可以在閱讀腳本的同時，通過插圖和公式來突出主要觀點、公式或示例。這本第二版增加了五個新章節和一個附錄。新的章節包括：第9章 多類別邏輯回歸、第10章 序數邏輯回歸、第11章 相關數據的邏輯回歸、第12章 GEE示例、第13章 相關數據分析的其他方法。第9章和第10章將邏輯回歸擴展到具有多於兩個類別的響應變量。第11章至第13章將邏輯回歸擴展到廣義估計方程（GEE）和其他分析相關響應數據的方法。附錄“邏輯回歸的計算機程序”提供了描述和示例，用於執行主文本中描述的各種邏輯回歸程序的計算機程序。考慮的軟件包括SAS版本8.0、SPSS版本10.0和STATA版本7.0。

目錄

邏輯回歸簡介 * 邏輯模型的重要特殊情況 * 計算邏輯回歸中的勝算比 * 最大概似估計技術：概述 * 使用最大概似估計技術的統計推斷 * 建模策略指南 * 評估交互作用和混淆的建模策略 * 使用邏輯回歸分析匹配數據 * 多類別邏輯回歸 * 序數邏輯回歸 * 相關數據的邏輯回歸 * GEE示例 * 相關數據分析的其他方法

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