Chapters in this book

1. Frontmatter i
2. Contents x
3. Preface xii
4. Part I Outline of Goals and Methods
5. 1 Introduction 1
6. 2 Goals of univariate and bivariate analysis 5
7. 3 Goals of multivariable analysis 34
8. 4 Taxonomy of multivariable methods 59
9. Part II Preparing for Multivariable Analysis
10. 5 Classification and coding decisions 83
11. 6 Appraisal of simple displays 105
12. 7 Simple linear regression: the algebraic prototype 128
13. 8 Stratified rates: the cluster prototype 164
14. 9 Bivariate evaluations of illustrative data set 188
15. Part III Basic Strategies of Targeted Algebraic Methods
16. 10 Complexity of additional independent variables 205
17. 11 Multivariable explorations and reductions 227
18. 12 Evaluations and illustrations of multiple linear regression 264
19. Part IV Regression for Nondimensional Targets
20. 13 Multiple logistic regression 295
21. 14 Evaluations and illustrations of logistic regression 331
22. 15 Proportional hazards analysis (Cox regression) 370
23. 16 Evaluations and illustrations of Cox regression 398
24. 17 Discriminant function analysis 431
25. 18 Illustrations of discriminant function analysis 458
26. Part V Targeted-Cluster Methods
27. 19 Basic strategies of cluster operations 475
28. 20 Multicategorical stratification 507
29. 21 Recursive partitioning 529
30. 22 Additional discussion and conclusions 559
31. Master List of References 585
32. Index 605