Associate Professor Xiang Liming

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Research Interest

My general research interests include the development of statistical methods with applications to scientific problems in the areas of medicine, epidemiology, public health and quality management.

 

My current research focuses on the areas of survival analysis and analysis of longitudinal/ clustered data. More specifically, I am interested in developing

 

          statistical methods for survival data with complex structures, including various semiparametric models for clustered survival data, semi-competing risks data, interval-censored data with cure fraction and high-dimensional survival data;

          semiparametric methods for handling missing data in generalized linear mixed models (GLMMs), robust estimation in finite mixtures of GLMMs, overdispersion and/or zero-inflation in correlated count data.

 

My past research areas have also included model diagnostics, statistical process control and monitoring.

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