Ischemic heart disease in England
ihdenglandA data frame with columns:
sex: "male" or "female".
ageyr. Year of age.
location. Name of the location, which is either a city region or region in England.
num_mort. Numerator behind the estimate of mortality
num_inc. Numerator behind the estimate of incidence
num_prev. Numerator behind the estimate of prevalence
denom_mort. Denominator behind the estimate of mortality
denom_inc. Denominator behind the estimate of incidence
denom_prev. Denominator behind the estimate of prevalence
Global Burden of Disease, 2017
The data were processed to
* change the geography to refer to England city regions and the remaining English regions,
* change counts by 5-year age groups to estimated 1-year counts,
* obtain estimated numerators and denominators from the published point estimates and uncertainty intervals.
A point estimate of the risk is equivalent to the numerator divided by the denominator. The denominator is
related to the extent of uncertainty around this estimate, and obtained using the Bayesian method
implemented in ci2num.
The script given in https://github.com/chjackson/disbayes/blob/master/data-raw/gbd_process.Rmd shows these steps.
Jackson C, Zapata-Diomedi B, Woodcock J. "Bayesian multistate modelling of incomplete chronic disease burden data" https://arxiv.org/abs/2111.14100.