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 multivariate case-cohort studies.
- 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.
- Soldan A, Pettigrew C, Lu Y, Wang M-C, Selnes O, Albert M, Brown T, Ratnanather JT, Younes L, Miller M. Relationship of medial temporal lobe atrophy, ApoE genotype and cognitive reserve in preclinical Alzheimer's disease. Human Brain Mapping 2015; 36: 2826-2841.
- 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