Coping with time and space in modelling malaria incidence: a comparison of survival and count regression models

Author:

Getachew Yehenew12,Janssen Paul3,Yewhalaw Delenasaw4,Speybroeck Niko5,Duchateau Luc2

Affiliation:

1. Department of Horticulture and Plant Sciences; Jimma University; Jimma Ethiopia

2. Department of Comparative Physiology and Biometrics; University of Ghent; Ghent Belgium

3. Center for Statistics; Hasselt University; Diepenbeek Belgium

4. Department of Biology; Jimma University; Jimma Ethiopia

5. Public Health School; Université Catholique de Louvain; Brussels Belgium

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference10 articles.

1. Estimating frailty models via Poisson hierarchical generalized linear models;Do Ha;Journal of Computational and Graphical Statistics,2003

2. Random effects Cox models: a Poisson modelling approach;Ma;Biometrika,2003

3. The influence of the Gilgel-Gibe hydroelectric dam in Ethiopia on caregivers’ knowledge perceptions and health-seeking behavior towards childhood malaria;Yewhalaw;Malaria Journal,2010

4. Analyzing multivariate survival data using composite likelihood and flexible parametric modelling of the hazard functions;Nielsen;Statistics in Medicine,2010

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