Research Article

Why They Are Different: Based on the Burden of Disease Research of WHO and Institute for Health Metrics and Evaluation

Table 1

Update of DisMod-MR.

DisMod-2DisMod-MRDisMod MR 2.0

(i) Parametric assumption with single number 
(ii) Needing more flexible model for estimation 
(iii) Adjusted covariate variables 
(iv) Lack of meta-analysis, Bayesian inference, regression
(i) Bayesian analysis 
 (a) Flexible model 
 (b) Markov Chain Monte Carlo for hierarchical model 
 (c) Availability of uncertainty interval 
(ii) Meta-analysis: global, regional fit 
(iii) Regression: adjusted age, comorbidity, etc.
(iv) UI of “p X RR” 
(v) Adjusting the local fit using global fit with cascade
Faster than DisMod-MR of calculation