Health & place

[1] Causally speaking: Challenges in measuring gentrification for population health research in the United States and Canada.

[2] Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis

[3] Learning misclassification costs for imbalanced classification on gene expression data.

[4] least-mse calibration procedures for corrections of measurement and misclassification errors in generalized linear models

[5] the study of misclassification probability in discriminant model of pattern identification for stroke

[6] blood politics, ethnic identity, and racial misclassification among american indians and alaska natives