A cross‐validation statistical framework for asymmetric data integration
A cross‐validation statistical framework for asymmetric data integration
Abstract The proliferation of biobanks and large public clinical data sets enables their integration with a smaller amount of locally gathered data for the purposes of parameter estimation and model prediction. However, public data sets may be subject to context-dependent confounders and the protocols behind their generation are often opaque; …