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Bayesian analysis of zero inflated spatiotemporal HIV/TB child mortality data through the INLA and SPDE approaches: Applied to data observed between 1992 and 2010 in rural North East South Africa

  • Published:2013-06 Issue: Volume:22 Page:86-98
  • ISSN:0303-2434
  • Container-title:International Journal of Applied Earth Observation and Geoinformation
  • language:en
  • Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Musenge Eustasius,Chirwa Tobias Freeman,Kahn Kathleen,Vounatsou Penelope

Funder

World Health Organisation's, Tropical Disease Research

Swiss South African Joint Research Program

Wellcome Trust UK

University of the Witwatersrand and Medical Research Council, South Africa

Andrew Mellon and Hewlett Foundations, U.S.A

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference33 articles.

1. Zero-inflated models with application to spatial count data;Agarwal;Environmental and Ecological Statistics,2002

2. Semiparametric spatio-temporal frailty modeling;Banerjee;Environmetrics,2003

3. Hierarchical Modeling and Analysis for Spatial Data;Banerjee,2004

4. Gaussian predictive process models for large spatial datasets;Banerjee;Journal of the Royal Statistical Society, Series B,,2008

5. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio;Barros;BMC Medical Research Methodology,2003
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