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Semi-Markov and non-homogeneous Markov models in medicine

In: Semi-Markov Models

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  • Daniel Commenges

    (Université de Bordeaux II)

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.

Suggested Citation

  • Daniel Commenges, 1986. "Semi-Markov and non-homogeneous Markov models in medicine," Springer Books, in: Jacques Janssen (ed.), Semi-Markov Models, pages 423-436, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4899-0574-1_25
    DOI: 10.1007/978-1-4899-0574-1_25
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