Semi-Markov and non-homogeneous Markov models in medicine

  • Daniel Commenges

Abstract

Longitudinal studies form the most interesting part of medical studies. All therapeutical trials and the majority of epidemiological studies can be considered as longitudinal studies but most often this aspect is ignored or grossly simplified when the data are analysed. For instance a very simple therapeutical trial can be described as follows. Patients are included in the trial, each at a certain moment of their history. When included they are assigned randomly to one of two treatment groups. A particular variable R, called here the response variable, can be observed till the end of the study. A simple method of analysis consists in comparing the values of R in the two groups observed after a time Te of treatment. A Pearson’s X2 or a Student’s t test for instance can be used according to the statistical nature of the variable.

Keywords

Sojourn Time Markov Chain Model Hyperthyroidic Patient Homogeneous Markov Chain Marginal Total 
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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Copyright information

© Springer Science+Business Media New York 1986

Authors and Affiliations

  • Daniel Commenges
    • 1
  1. 1.Université de Bordeaux IIBordeaux CedexFrance

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