From: A Spatio-temporal Bayesian model to estimate risk and influencing factors related to tuberculosis in Chongqing, China, 2014–2020
Bayesian model
Model
DIC
Model1
θi = exp (α0 + ui + vi)
5975.03
Model2
θi = exp (α0 + ui + vi + gj)
5961.74
Model3
θi = exp (α0 + ui + vi + gj + psiij)
2687.70