Share Ching-Yun Wang

PHS Program: Biosatistics and Biomathematics

Research focus: Statistical methods for measurement error models, missing data regression, nutritional epidemiology, semiparametric regression models, joint modeling of longitudinal and failure time data, high-dimensional biomarker data and classification.

Selected Publications

Qi, L., Wang, C. Y. and Prentice, R. L. (2005). Weighted estimators for proportional hazards regression with missing covariates. Journal of the American Statistical Association, 100, 1250--1263.

Wang, C. Y. (2006). Corrected Score Estimator for joint modeling of longitudinal and failure time data. Statistica Sinica, 16, 235 - 253.

Sugar, E. A, Wang, C. Y. and Prentice, R. L. (2007). Methods for logistic regression with flexible measurement error. Biometrics, 63, 143 - 151.

Wang, C. Y., Lee, S. M. and Chao, E. C. (2007). Numerical Equivalence of Imputing Scores and Weighted Estimators in Regression Analysis with Missing Covariates. Biostatistics, 8, 468 - 473.

Wang, C. Y., Huang, Y., Chao, E. C., and Jeffcoat M. K. (2008) Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorably Missing Data. Biometrics, 64, 85 - 95.

Wang, C. Y. (2008). Nonparametric maximum likelihood estimation for Cox regression with subject-specific Measurement Error. Scandinavian Journal of Statistics, 35, 613 - 628.

Wang, C. Y., Baldwin, L. M., Saver, B., Dobie, S., Green, P., Cai, Y, and Klabunde, C. (2009). The contribution of longitudinal comorbidity measurements to survival analysis. Medical Care, in press.