Summary
I am a Research Associate working with Dr Jessica Barrett on developing and applying statistical methodology to infer temporal patterns of multimorbidity, integrating internal and external covariates available from the electronic health record datasets. I am part of the BIRM-CAM (Bringing Innovative Research Methods to Clustering Analysis of Multimorbidity) research collaboration.
Previously, I completed a PhD in Statistics at the University of Warwick under the supervision of Prof Bärbel Finkenstädt Rand, where my research focused on Bayesian inference for flexible hidden Markov models with applications to physiological data.
Papers
- Chen, S., Alvares, D., Jackson, C., Marshall, T., Nirantharakumar, K., Richardson, S., Saunders, C. L., Barrett, J. K., Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis, Statistical Methods in Medical Research (to appear)
- Chen, S., Marshall, T., Jackson, C., Cooper, J., Crowe, F., Nirantharakumar, K., Saunders, C. L., Kirk, P., Richardson, S., Edwards, D., Griffin, S., Yau, C., Barrett, J. K., Sociodemographic Characteristics and Longitudinal Progression of Multimorbidity: A Multistate Modelling Analysis of a Large Primary Care Records Dataset in England, PLOS Medicine (in press)
- Chen, S. & Finkenstädt, B., Bayesian spline-based hidden Markov models with applications to actimetry data and sleep analysis, Journal of the American Statistical Association, T&M (in press)
