Search Results - "Watjou, K."

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  1. 1

    Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping by Carroll, R, Lawson, A B, Faes, C, Kirby, R S, Aregay, M, Watjou, K

    Published in Spatial and spatio-temporal epidemiology (01-07-2015)
    “…The recently developed R package INLA (Integrated Nested Laplace Approximation) is becoming a more widely used package for Bayesian inference. The INLA…”
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    Journal Article
  2. 2

    Spatial small area smoothing models for handling survey data with nonresponse by Watjou, K., Faes, C., Lawson, A., Kirby, R. S., Aregay, M., Carroll, R., Vandendijck, Y.

    Published in Statistics in medicine (15-10-2017)
    “…Spatial smoothing models play an important role in the field of small area estimation. In the context of complex survey designs, the use of design weights is…”
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    Journal Article
  3. 3

    Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey by Watjou, K., Faes, C., Kirby, R.S., Aregay, M., Carroll, R., Vandendijck, Y.

    Published in Spatial and spatio-temporal epidemiology (01-06-2019)
    “…Public health and governmental organizations have acknowledged the importance of obtaining information of various characteristics for small areas, such as…”
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    Journal Article
  4. 4

    Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping by Lawson, Andrew B., Carroll, Rachel, Faes, Christel, Kirby, Russell S., Aregay, Mehreteab, Watjou, Kevin

    Published in Environmetrics (London, Ont.) (01-12-2017)
    “…It is often the case that researchers wish to simultaneously explore the behavior of, and estimate the overall risk for, multiple related diseases with varying…”
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    Journal Article
  5. 5

    Spatio-temporal Bayesian model selection for disease mapping by Carroll, Rachel, Lawson, Andrew B., Faes, Christel, Kirby, Russell S., Aregay, Mehreteab, Watjou, Kevin

    Published in Environmetrics (London, Ont.) (01-12-2016)
    “…Spatio‐temporal analysis of small area health data often involves choosing a fixed set of predictors prior to the final model fit. In this paper, we propose a…”
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    Journal Article