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    Developing pediatric prognostic model using finite mixture models 

    Ogero, Morris Ondieki (Strathmore University, 2017)
    Background: World Health Organization (WHO) guidelines recommend early identification of patients who have emergency features for early medical intervention with the aim of reducing child mortality and morbidity. Prognostic ...
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    Distributions of zero-inflated models with application to HIV exposed infants 

    Nekesa, Faith Victory (Strathmore University, 2019)
    The instances of data with excess zeros are commonly found in many disciplines, including the public health. Several models have been proposed when analyzing this kind of data. The World Health Organization (WHO) indicates ...

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    AuthorNekesa, Faith Victory (1)Ogero, Morris Ondieki (1)Subject
    World Health Organization (2)
    Bayesian Finite Mixture Model (1)Child Morbidity (1)Child Mortality (1)HIV Exposed Infants (1)Prognostic models (1)Zero-inflated Models (1)... View MoreDate Issued2017 (1)2019 (1)Has File(s)Yes (2)

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