名称：Logistic Regression A Self-Learning Text（关于logistic回归的方方面面）

大小：514页

格式：pdf

目录

Chapter 1 Introduction to Logistic Regression 1
Chapter 2 Important Special Cases of the Logistic Model 39
Chapter 3 Computing the Odds Ratio in Logistic Regression 73
Chapter 4 Maximum Likelihood Techniques: An Overview 101
Chapter 5 Statistical Inferences Using Maximum Likelihood Techniques 125
Chapter 6 Modeling Strategy Guidelines 161
Chapter 7 Modeling Strategy for Assessing Interaction and Confounding 191
Chapter 8 Analysis of Matched Data Using Logistic Regression 227
Chapter 9 Polytomous Logistic Regression 267
Chapter 10 Ordinal Logistic Regression 301
Chapter 11 Logistic Regression for Correlated Data: GEE 327
Chapter 12 GEE Examples 377
Introduction 378
Abbreviated Outline 378
Objectives 379
Presentation 380
Detailed Outline 396
Practice Exercises 397
Test 400
Answers to Practice Exercises 402
Chapter 13 Other Approaches for Analysis of Correlated Data 405
Appendix: Computer Programs for Logistic Regression 437
Datasets 438
SAS 441
SPSS 464
Stata 474