Fig. 2From: A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) StudyTSP score varying by correlation in feature pairs from the second simulation study. Left: Varying the correlation of \((X_{1} , X_{2} )\), i.e., pair conditional on our single “clinical” covariate. Right: Varying the correlation of \((X_{3} , X_{4} )\), i.e., pair independent of our single “clinical” covariateBack to article page