research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
This study applied a novel Cox regression subsampling method to massive datasets, demonstrated using UK-biobank colorectal cancer data, effectively reducing computation time and memory usage while building a risk-prediction model under certain conditions involving right-censored and potentially left-truncated data with rare events.