MRC Biostatistics Unit
COLD: Methods for the Analysis of Complex Observational and Longitudinal Data
Telephone number: 01223 330373Email Address: yujie.zhong@mrc-bsu.cam.ac.uk
Other Research Theme Collaborations: COLD
My long-standing research interests involve the development of statistical methodology for the design and analysis of studies in public heath research and clinical trials. Specific interests include the analysis of complex life history processes under response-dependent observation schemes, the design and analysis of family studies, clinical trials involving censored data, cluster-randomization, causal inference on treatment effects following cancer progression, measurement error and copula models. My current research in the BSU is focused on stratified medicine including longitudinal modeling of biomarker processes, risk stratification, prediction and validation.
Selected Papers
Zhong Y and Cook R J (2017)Second-order estimating equations for clustered current status data from family studies using response-dependent samplingStatistics in Biosciences :
Zhong Y and Cook R J (2016)Augmented composite likelihood for copula modeling in family studies under biased sampling
Biostatistics 17(3): 437-452
Zhong Y and Cook R J (2015)Sample size and robust marginal methods for cluster-randomized trials with censored event times
Statistics in Medicine 34(6): 901-923
Zhong Y (2015)Life History Analysis with Response-Dependent Observation
PhD Thesis, University of Waterloo : Canada
Zhong Y and Cook R J (2014)Measurement error for age of onset in prevalent cohort studies
Applied Mathematics 5(11): 1672-1683