Calculate the relative risk (RR) for each person in the baseline population for each disease related to air pollution and each scenario based on the individual PM exposure levels
Arguments
- cause
name of disease
- dose
vector of PM exposure levels from individuals for a given age range and scenario
- quantile
quantile of the dose response functions to be used as output value
- confidence_intervals
logic: whether or not to return confidence intervals
Value
data frame of relative risks for each person in the baseline population and each AP related disease in each scenario
Details
This function performs the following steps:
various checks to ensure the correct PM exposure levels (doses) and disease are read in
get the lookup table for the required dose response functions which contains for each dose the median RR and the upper and lower confidence interval RR values
for the PM exposure doses in the baseline population find the needed RR by extrapolating the dose responses given in the lookup table
if a confidence interval is required, repeat this interpolation using the upper and lower confidence RR values
if the required quantile is not 0.5, i.e. the median, then find the required RR value by defining a normal function with mean the median RR value for that dose and standard deviations defined by the upper and lower confidence RR values. Use the correct quantile from this normal function as your RR value.