1
Introduction
2
Health impact function
2.1
Epidemiological study designs: source, sample and study populations
2.2
Case definition
2.3
Relative risk, odds ratio and hazard ratio
2.4
The PAF (population attributable fraction)
2.5
TMREL
3
Study population and health outcomes
3.1
Source, sample and study population
4
Exposure assessment
4.1
Spatial modelling and dealing with coverage issues or missingness
4.2
Counterfactual
5
Link population, health and environment data
5.1
Spatial and temporal issues
6
Attributable number
6.1
Life tables
Appendix
A
Getting started
B
Code overview
B.1
R targets package
B.1.1
Function-oriented programming
B.2
Directory and File Structure
B.3
_targets.R script
B.3.1
input targets
B.3.2
data targets
B.3.3
analysis targets
B.3.4
viz targets
B.3.5
Pipeline list
B.4
Metaprogramming
C
Case Study - WHO guidelines
D
Case Study - Alternate PM
2.5
surfaces
E
Case Study - Alternate Pollutant
Air-Health SWS R targets (Last edited on 2022-05-10)
2
Health impact function
This is the place to start because this defines the function that relates exposure to outcomes.