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    Statistical Modelling of Breastfeeding Data

    Zhao J 2018.pdf (19.51Mb)
    Access Status
    Open access
    Authors
    Zhao, Jian
    Date
    2018
    Supervisor
    Yun Zhao
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Health Sciences
    School
    Public Health
    URI
    http://hdl.handle.net/20.500.11937/75646
    Collection
    • Curtin Theses
    Abstract

    This thesis addresses some key methodological problems in statistical modelling of breastfeeding data. Meta-analysis techniques were used to analyse aggregated breastfeeding data. Generalised linear mixed model and an extended Cox model were used with time-varying exposures to analyse longitudinal and time-to-event breastfeeding data, respectively. Shared frailty models were applied to correlated breastfeeding duration data controlling for heterogeneity. A novel two-part mixed-effects model was proposed for modelling clustered time-to-event breastfeeding data with clumping at zero.

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