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    A New Approach in Survival Analysis with Longitudinal Covariates

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    Pavlov_Andrey_201004_PhD.pdf (946.4Kb)
    Date
    2010-04-27
    Author
    Pavlov, Andrey
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    Abstract
    In this study we look at the problem of analysing survival data in the presence of

    longitudinally collected covariates. New methodology for analysing such data has

    been developed through the use of hidden Markov modeling. Special attention has

    been given to the case of large information volume, where a preliminary data reduction

    is necessary. Novel graphical diagnostics have been proposed to assess goodness of fit

    and significance of covariates.

    The methodology developed has been applied to the data collected on behaviors

    of Mexican fruit flies, which were monitored throughout their lives. It has been found

    that certain patterns in eating behavior may serve as an aging marker. In particular it

    has been established that the frequency of eating is positively correlated with survival

    times.
    URI for this record
    http://hdl.handle.net/1974/5585
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    • Queen's Graduate Theses and Dissertations
    • Department of Mathematics and Statistics Graduate Theses
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