Now showing items 1-4 of 4

    • Estimating average attributable fractions with confidence intervals for cohort and case control studies 

      Ferguson, John; Alvarez-Iglesias, Alberto; Newell, John; Hinde, John; O’Donnell, Martin (SAGE Publications, 2016-06-24)
      Chronic diseases tend to depend on a large number of risk factors, both environmental and genetic. Average attributable fractions were introduced by Eide and Gefeller as a way of partitioning overall disease burden into ...
    • Global and local tests to assess stationarity of Markov transition models 

      Rodrigues de Lara, Idemauro Antonio; Hinde, John; Taconeli, Cesar Augusto (Taylor & Francis, 2018-02-09)
      We present global and local likelihood-based tests to evaluate stationarity in transition models. Three motivational studies are considered. A simulation study was carried out to assess the performance of the proposed ...
    • Models for overdispersed data in entomology 

      Demétrio, Clarice G. B.; Hinde, John; Moral, Rafael A. (Springer, Cham, 2014-09-17)
      Entomological data are often overdispersed, characterised by a larger variance than assumed by simple standard models. It is important to model overdispersion properly in order to avoid incorrect and misleading inferences. ...
    • A Weibull-count approach for handling under- and overdispersed longitudinal/clustered data structures 

      Luyts, Martial; Molenberghs, Geert; Verbeke, Geert; Matthijs, Koen; Ribeiro Jr, Eduardo E.; Demétrio, Clarice G. B.; Hinde, John (SAGE Publications, 2018-07-30)
      A Weibull-model-based approach is examined to handle under- and overdispersed discrete data in a hierarchical framework. This methodology was first introduced by Nakagawa and Osaki (1975, IEEE Transactions on Reliability, ...