Bayesian Multi-State Modelling of Chronic Disease Burden Data
Convert a proportion and credible interval to a numerator and denomina...
Conflict p-values
The 'disbayes' package.
Bayesian estimation of chronic disease epidemiology from incomplete da...
Bayesian estimation of chronic disease epidemiology from incomplete da...
Leave-one-out cross validation for disbayes models
Extract observation-specific contributions from a disbayes leave-one-o...
Quick and dirty plot of estimates from disbayes models against age
Quick plot of estimates from hierarchical disbayes models against age
Create tidy data for a check of observed against fitted outcome probab...
Graphical check of observed against fitted outcome probabilities from ...
Objects exported from other packages
Form a tidy data frame from the estimates from a disbayes fit
Extract observed data from a disbayes model fit
Estimation of incidence and case fatality for a chronic disease, given partial information, using a multi-state model. Given data on age-specific mortality and either incidence or prevalence, Bayesian inference is used to estimate the posterior distributions of incidence, case fatality, and functions of these such as prevalence. The methods are described in Jackson et al. (2023) <doi:10.1093/jrsssa/qnac015>.