Prescreen, Then Subsample: Efficient model training for large-scale biomedical data with correlated covariates

Statistical modeling of high-dimensional and large-sample data with complex correlation structures is increasingly important in biomedical research, particularly in large-scale omics applications such as genomic studies. Analyzing these large-scale datasets imposes substantial computational and memo