Chapter 3.4. The Multivariate Approach

Chapters in this book

1. Frontmatter I
2. Foreword V
3. Contributors VI
4. Abbreviations and Symbols IX
5. Contents XIII
6. 1. Introduction
7. Data Presentation and Interpretation: Problems, Tools and Goals 1
8. 2. Data Presentation
9. Chapter 2.1. How to Make Laboratory Information More Informative: Psychological and Statistical Considerations 11
10. Chapter 2.2. Result Reports from Large Centralized Laboratories 33
11. Chapter 2.3. Graphical Data Display and Medical Decision Making 63
12. Chapter 2.4. Digital and Analogous Presentation of Laboratory Results in Dependence of Time 81
13. Chapter 2.5. Computer Graphics for Data Presentation 121
14. Chapter 2.6. Use of Colour in Tables and Graphic Displays 133
15. 3. Interpretation of Laboratory Results
16. Chapter 3.1. The Bayes Approach: Systematic Graphic Evaluation of Diagnostic Tests 161
17. Chapter 3.2. Deterministic Methods for Computerized Interpretation of Laboratory Tests 205
18. Chapter 3.3. Information Theoretical Model of a Clinical Chemical Test 219
19. Chapter 3.4. The Multivariate Approach 247
20. Chapter 3.5. Cluster Analysis as a Help in Interpretation of Complex Data 277
21. Chapter 3.6. Quasi Distribution-Free Assessment of Multivariate Data of Clinical Chemical Tests with the Aid of the X-transformation 329
22. Chapter 3.7. Data Driven Interpretation of Laboratory Results in the Context of a Medical Decision Support System 367
23. Chapter 3.8. Expert Systems in Clinical Chemistry 381
24. Chapter 3.9. Single-Point Method and Bayesian Approach for Individualizing Theophylline Dosage 403
25. Chapter 3.10. Discriminant Analysis: A Special Procedure for the Detection of Alcoholism 425
26. Chapter 3.11. A New Distribution-Free, Multivariate Discriminating Method 447
27. Appendix 468
28. References 468
29. Subject Index 471
30. Backmatter 481