Title
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship
What is this about?
This article illustrates how a recently developed causal inference pipeline can help environmental epidemiologists reconstruct and analyze hypothetical randomized experiments by investigating whether an air pollution reduction intervention decreases the risk of multiple sclerosis relapses in Alsace region, France.
This article illustrates how a recently developed causal inference pipeline can help environmental epidemiologists reconstruct and analyze hypothetical randomized experiments by investigating whether an air pollution reduction intervention decreases the risk of multiple sclerosis relapses in Alsace region, France.
Type
Applied methods
Applied methods
Year
2021
2021
Domain
causal_inference
causal_inference
Reference
Stat Med 2021 Mar 15;40(6):1321-1335. doi: 10.1002/sim.8843
Stat Med 2021 Mar 15;40(6):1321-1335. doi: 10.1002/sim.8843
Keywords
Causal inference; environmental epidemiology; matching; multiple sclerosis; observational data
Causal inference; environmental epidemiology; matching; multiple sclerosis; observational data
Open access
Yes
Yes
Code
No
No
Lifecycle Tutorial
No
No
Not specified