A spatial shared component random intercept model for assessing risk of diarrhea among men and women

作者: Kismiantini , IGNM Jaya

DOI: 10.1088/1742-6596/1581/1/012018

关键词:

摘要:

参考文章(11)
Marta Blangiardo, Michela Cameletti, Spatial and Spatio-temporal Bayesian Models with R - INLA Wiley. ,(2015) , 10.1002/9781118950203
Julian Besag, Jeremy York, Annie Molli�, Bayesian image restoration, with two applications in spatial statistics Annals of the Institute of Statistical Mathematics. ,vol. 43, pp. 1- 20 ,(1991) , 10.1007/BF00116466
N.-B. Kandala, C. Ji, N. Stallard, S. Stranges, F. P. Cappuccio, Morbidity from diarrhoea, cough and fever among young children in Nigeria Annals of Tropical Medicine and Parasitology. ,vol. 102, pp. 427- 445 ,(2008) , 10.1179/136485908X300797
Birgit Schrödle, Leonhard Held, Spatio-temporal disease mapping using INLA† Environmetrics. ,vol. 22, pp. 725- 734 ,(2011) , 10.1002/ENV.1065
Leonhard Knorr-Held, Nicola G Best, None, A shared component model for detecting joint and selective clustering of two diseases. Journal of The Royal Statistical Society Series A-statistics in Society. ,vol. 164, pp. 73- 85 ,(2001) , 10.1111/1467-985X.00187
Mohammadreza Mohebbi, Rory Wolfe, Andrew Forbes, Disease Mapping and Regression with Count Data in the Presence of Overdispersion and Spatial Autocorrelation: A Bayesian Model Averaging Approach International Journal of Environmental Research and Public Health. ,vol. 11, pp. 883- 902 ,(2014) , 10.3390/IJERPH110100883
David Clayton, John Kaldor, Empirical Bayes Estimates of Age-Standardized Relative Risks for Use in Disease Mapping Biometrics. ,vol. 43, pp. 671- 681 ,(1987) , 10.2307/2532003
Ahmad Komarulzaman, Jeroen Smits, Eelke de Jong, Clean water, sanitation and diarrhoea in Indonesia: Effects of household and community factors Global Public Health. ,vol. 12, pp. 1141- 1155 ,(2017) , 10.1080/17441692.2015.1127985
Velusamy Saravana Kumar, Shanmugasundaram Devika, Sebastian George, Lakshmanan Jeyaseelan, Spatial mapping of acute diarrheal disease using GIS and estimation of relative risk using empirical Bayes approach Clinical Epidemiology and Global Health. ,vol. 5, pp. 87- 96 ,(2017) , 10.1016/J.CEGH.2016.07.004