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Hua Shen, PhD
PhD in Statistics Faculty of Mathematics University of Waterloo
Areas of Research
Statistics and Biostatistics
My research interests are on the methodology development and statistical analysis of data arising from public health and medical research. They include the analysis of survival data, recurrent events data, longitudinal data, incomplete data and other complex data involving multiple outcomes, measurement error, hierarchical structures and high dimension. My current research focuses on developing statistical methods to analyze incomplete lifetime data involving latent processes which often arise in clinical trials and observational studies. I am also interested in supporting deep understanding and applying statistical principles through transdisciplinary partnership. Prospective collaborators from various areas are welcome to contact me for collaborative research.
My research interests are on the methodology development and statistical analysis of data arising from public health and medical research. They include the analysis of survival data, recurrent events data, longitudinal data, incomplete data and other complex data involving multiple outcomes, measurement error, hierarchical structures and high dimension. My current research focuses on developing statistical methods to analyze incomplete lifetime data involving latent processes which often arise in clinical trials and observational studies. I am also interested in supporting deep understanding and applying statistical principles through transdisciplinary partnership. Prospective collaborators from various areas are welcome to contact me for collaborative research.
Supervising degrees
Math and Statistics - Doctoral: Seeking Students
Math and Statistics - Masters: Seeking Students
Math and Statistics - Masters: Seeking Students
More information
Working with this supervisor
I am interested in working with students at both graduate and undergraduate levels on statistics/biostatistics projects and research topics. Students with strong interests in statistics/biostatistics and solid background in statistics, biostatistics, applied mathematics, computer science and other related areas are encouraged to make inquiries.
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