Data Presentation / Interpretation / / ed. by Ch. Trendelenburg, H. Keller.

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Reference Works <1990
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2019]
©1989
Year of Publication:2019
Edition:Reprint 2018
Language:English
Series:Clinical Biochemistry : Principles, Methods, Applications , 2
Online Access:
Physical Description:1 online resource (XXI, 479 p.)
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Table of Contents:
  • Frontmatter
  • Foreword
  • Contributors
  • Abbreviations and Symbols
  • Contents
  • 1. Introduction
  • Data Presentation and Interpretation: Problems, Tools and Goals
  • 2. Data Presentation
  • Chapter 2.1. How to Make Laboratory Information More Informative: Psychological and Statistical Considerations
  • Chapter 2.2. Result Reports from Large Centralized Laboratories
  • Chapter 2.3. Graphical Data Display and Medical Decision Making
  • Chapter 2.4. Digital and Analogous Presentation of Laboratory Results in Dependence of Time
  • Chapter 2.5. Computer Graphics for Data Presentation
  • Chapter 2.6. Use of Colour in Tables and Graphic Displays
  • 3. Interpretation of Laboratory Results
  • Chapter 3.1. The Bayes Approach: Systematic Graphic Evaluation of Diagnostic Tests
  • Chapter 3.2. Deterministic Methods for Computerized Interpretation of Laboratory Tests
  • Chapter 3.3. Information Theoretical Model of a Clinical Chemical Test
  • Chapter 3.4. The Multivariate Approach
  • Chapter 3.5. Cluster Analysis as a Help in Interpretation of Complex Data
  • Chapter 3.6. Quasi Distribution-Free Assessment of Multivariate Data of Clinical Chemical Tests with the Aid of the X-transformation
  • Chapter 3.7. Data Driven Interpretation of Laboratory Results in the Context of a Medical Decision Support System
  • Chapter 3.8. Expert Systems in Clinical Chemistry
  • Chapter 3.9. Single-Point Method and Bayesian Approach for Individualizing Theophylline Dosage
  • Chapter 3.10. Discriminant Analysis: A Special Procedure for the Detection of Alcoholism
  • Chapter 3.11. A New Distribution-Free, Multivariate Discriminating Method
  • Appendix
  • References
  • Subject Index
  • Backmatter