Mei-Cheng Wang, Ph.D.
Data Management and Statistics Core: Co-Investigator
Dr. Wang is Professor of Biostatistics in the Johns Hopkins Bloomberg School of Public Health. Her research interests include: nonparametric and semiparametric analysis for multiple event data; inferences for truncated or prevalent cohort data; semiparametric conditional inferences; and statistical methods for biomarker studies.
- Zhu Y. and Wang MC. Obtaining optimal cutoff values for tree classifiers using multiple biomarkers. Biometrics, In press
- Sun Y, Chiou S, Wang MC. ROC-guided survival trees and ensembles. Biometrics, 2020, 76: 1177-1189.
- Albert M, Zhu Y, Moghekar A, Mori S, Miller M, Soldan A, Pettigrew C, Selnes O, Li S, Wang M-C. Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years. Brain, 2018; 141: 877-887.
- Cai Q, Wang M-C, Chan KC. Joint modeling of longitudinal, recurrent events and failure time data for survivor’s population. Biometrics 2017; 73: 1150-1160.
- Zhu H, Wang MC. Nonparametric inference on bivariate survival data with interval sampling: association estimation and testing. Biometrika 2014; 101: 519-533.
Primary Appointment in Biostatistics