• Login
    View Item 
    •   SU+ Home
    • Conferences / Workshops / Seminars +
    • Strathmore International Mathematics Conference
    • SIMC 2017
    • View Item
    •   SU+ Home
    • Conferences / Workshops / Seminars +
    • Strathmore International Mathematics Conference
    • SIMC 2017
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Joint assessment of outcomes in quantitative evidence synthesis

    Thumbnail
    View/Open
    Abstract - SIMC Conference paper, 2017 (5.297Kb)
    Date
    2017
    Author
    Makambi, Kepher H.
    Metadata
    Show full item record
    Abstract
    Quantitative research synthesis (or meta-analysis) has seen significant methodological development in the application of multivariate methods for the comparison of multiple endpoints. Multivariate meta-analysis offers some advantages over separate univariate analyses including the ability to borrow strength across studies and outcomes. The issue of heterogeneity among studies is very important in meta- analysis and partly entails the estimation of the heterogeneity variance. A number of iterative and non-iterative estimators for the heterogeneity variance have been proposed with no clear consensus on the best estimator with respect to selected performance indices. We present an overview of the univariate random effects meta- analytic approach including an example on application in randomized clinical trials. A multivariate alternative to the extended DerSimonian-Laird (DL) method (the commonly used method) will be presented. A comparison of the bias and mean square error from a simulation study indicates that, in some circumstances, the proposed method performs better than the multivariate DL method. Other topics of interest in multivariate meta-analysis will be discussed including network meta- analysis and integrating meta-analysis into structural equation models (SEM) that can be implemented in the mainstream SEM software including MPLUS.
    URI
    http://hdl.handle.net/11071/11818
    Collections
    • SIMC 2017 [85]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV