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  <title>Probability, Statistics And Modelling in Public Health</title>
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  <namePart>Mickhail Nikulin</namePart>
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  <namePart>Daniel Commenges</namePart>
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  <namePart>Catherine Huber</namePart>
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   <publisher>Springer</publisher>
   <dateIssued>2006</dateIssued>
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 <note>An impact of environment on mortality, similar to survival analysis, is often modelled by the proportional hazards model, which assumes the corresponding comparison with a baseline environment. This model describes the memory-less property, when the mortality rate at a given instant of time depends only on the environment at this instant of time and does not depend on the history. In the presence of degradation the assumption of this kind is usually unrealistic and history-dependent models should be considered. The simplest stochastic degradation model is the accelerated life model. We discuss these models for the cohort setting and apply the developed approach to the period setting for the case when environment (stress) is modelled by the functions with switching points (jumps in the level of the stress).</note>
 <note type="statement of responsibility">editors, Mickhail Nikulin, Daniel Commenges, Catherine Huber</note>
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