
Mathematical Modelling with Chernobyl Registry Data
Registry and Concepts
Springer (Publisher)
Published on 10. November 1995
Book
Paperback/Softback
IX, 110 pages
978-3-540-60411-2 (ISBN)
Description
In 1993 three institutes belonging respectively to the Heidelberg Academy for Humanities and Sciences, to the Russian Academy of Sciences, and to the Russian Academy of Medical Sciences, launched a cooperative research project. The main aim of the project is to develop mathematical methodologies needed for better information support in health policy decision-making in the area of primary health care provision for the Russian populations affected by radiation due to the Chernobyl accident. At present, the major data basis of the project is the Russian National medical and Dosimetric (Chernobyl) Registry administered at the Medical Radiological Research Centre, Obninsk. The book describes the general mathematical approaches to the project and the given conditions of the registry.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1995
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
21 s/w Abbildungen
IX, 110 p. 21 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
201 gr
ISBN-13
978-3-540-60411-2 (9783540604112)
DOI
10.1007/978-3-642-80010-8
Schweitzer Classification
Other editions
Additional editions

Wolfgang Morgenstern | Victor K. Ivanov | Anatoli I. Michalski
Mathematical Modelling with Chernobyl Registry Data
Registry and Concepts
E-Book
12/2012
1st Edition
Springer
€96.29
Available for download
Content
1 The Project.- 1.1 Objectives.- 1.2 Present Outcomes.- 2 The Russian National Medical and Dosimetric Registry.- 2.1 The Primary Registration and Examination Forms.- 2.2 Data Base and Data Processing.- 2.3 The Reconstruction of Absorbed Radiation Doses.- 3. Health Status Indicators.- 4. Mathematical Concepts.- 4.1 The Demand for a New Methodology.- 4.2 Semi-Markov Modelling.- 4.3 Heterogeneity.- 4.4 Unobserved States and Variables.- 4.5 Multiple Risks.- 4.6 Model Selection on Empirical Data.