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Statistical Methods for the Analysis of Disease Processes

  • S. M. Zuev
Conference paper
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 257)

Abstract

This paper is concerned with three problems connected with the processing of clinical and laboratory data: (i) construction of a generalized index for the seriousness of a disease; (ii) estimation of the information content of biochemical indices and (iii) statistical estimation of the parameters of disease models. These problems arise both in clinical practice and during theoretical investigations of disease mechanisms: solutions would be of great value in the study of disease processes. Since the problems are concerned with the analysis of experimental data it seems natural to tackle them using probability methods. This paper gives a brief description of the approach to the above problems developed at the Department of Numerical Mathematics in Moscow.

Keywords

Information Content Random Process Statistical Estimation Wiener Process Mathematical Expectation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© International Institute for Applied Systems Analysis, Laxenburg/Austria 1985

Authors and Affiliations

  • S. M. Zuev
    • 1
  1. 1.Department of Numerical MathematicsUSSR Academy of SciencesMoscowUSSR

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