Multivariate Interpretation of Clinical Laboratory Data
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This first of its kind guide describes statistical methods for the effective and efficient analysis of multivariate laboratory data, providing coverage which goes well beyond the standard single-sample diagnostic tools that regularly appear in medical literature.
Table of Contents
The Basics of Probability Theory and Matrix Algebra, Varaince-Covariance Matrix, Cross Sectional Multivariate Reference Regions, Ratio Functions, Differential Diagnosis: Several Categories, Prognosis, The Dynamic Approach to Prognosis, Time Series for Patient Monitoring.
Adelin Albert, is the Head of the Department of Medical Computing at the University of Liege, Belgium. Eugene K. Harris Visiting Professsor of Biomedical Engineering and Clinical professor of Pathology at the University of Virginia, USA.