Conceptconditional transportability assumption
Conditional Transportability Assumption
A tailored application of the transportability framework in causal inference to measurement error settings. It assumes that, given observed error-free covariates, the mechanism generating measurement error is consistent between source and target populations, permitting the use of external repeated measurement data to correct errors across heterogeneous populations.
Timeline (last 90 days)
Oct 7
The paper introduces a conditional transportability assumption, which allows the legitimate use of external repeated measurements even when heterogeneity exists between source and target populations
Unverified50%