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Methodical Problems in Early Detection Programmes pp 10–32Cite as

Mathematical Approaches to the Problem of Early Detection of Chronic Diseases with Particular Reference to Human Neoplasias

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Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 26))

Abstract

The present paper is a short account about the most known stochastic screening models, with the main purpose to give a tentative classification in the framework of a general mathematical theory. This report fundamentally differs from that by D. M. Eddy and M. Shwartz (1982) both in its objectives and in presentation manner. Computer models as well as problems of statistical inference will be not included here. In order to keep clear the exposé, personal comments and some interesting hints were separately brought together under the head “Notes” and marked by Roman numbers.

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Authors
  1. Petre Tautu
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Editors and Affiliations

  1. Institut für Medizinische Dokumentation und Statistik, Albert-Ludwigs-Universität, Stefan-Meier-Str. 26, 7800, Freiburg, Germany

    E. Walter

  2. Institut für Biostatistik und Dokumentation, Universität Innsbruck, Müllerstr. 59, A-6020, Innsbruck, Austria

    A. Neiß

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Tautu, P. (1985). Mathematical Approaches to the Problem of Early Detection of Chronic Diseases with Particular Reference to Human Neoplasias. In: Walter, E., Neiß, A. (eds) Methodical Problems in Early Detection Programmes. Lecture Notes in Medical Informatics, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45598-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-45598-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-15703-8

  • Online ISBN: 978-3-642-45598-8

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