Title
Causal inference and the data-fusion problem
Causal inference and the data-fusion problem
What is this about?
The study discusses methods to combine data sources in order to generalize and/or transport results from a study to a target population, in presence of both selection bias and confounding.
The study discusses methods to combine data sources in order to generalize and/or transport results from a study to a target population, in presence of both selection bias and confounding.
Type
Research article
Research article
Year
2016
2016
Domain
causal_inference
causal_inference
Reference
Proc Natl Acad Sci U S A. 2016 Jul 5;113(27):7345-7352.
Proc Natl Acad Sci U S A. 2016 Jul 5;113(27):7345-7352.
Keywords
generalizability, transportability, selection bias, confounding
generalizability, transportability, selection bias, confounding
Open access
Yes
Yes
Code
No
No
Lifecycle Tutorial
No
No
File
7345.full.pdf
7345.full.pdf
The paper provides a theoretical background; no codes are available for implementation