Summary
I am a Research Associate working with Dr Brian Tom on developing and applying modern statistical methods to analyse complex longitudinal data, with the aim of improving understanding and decision-making in medicine. Previously, I worked with Dr Jessica Barrett on developing and applying statistical methodology to infer temporal patterns of multimorbidity using data from electronic health records. I was also part of the BIRM-CAM (Bringing Innovative Research Methods to Clustering Analysis of Multimorbidity) research collaboration.
Before joining the MRC Biostatistics Unit, 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, Palma M, Barrett JK. Bayesian shared parameter joint models for heterogeneous populations. Statistics and Computing. Forthcoming.
- Chen S, Alvares D, Jackson C, Marshall T, Nirantharakumar K, Richardson S, Saunders CL, Barrett JK. Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis. Statistical Methods in Medical Research. 2024 Nov;33(11-12):2027-42.
- Chen S, Marshall T, Jackson C, Cooper J, Crowe F, Nirantharakumar K, Saunders CL, Kirk P, Richardson S, Edwards D, Griffin S, Yau C, Barrett JK. Sociodemographic Characteristics and Longitudinal Progression of Multimorbidity: A Multistate Modelling Analysis of a Large Primary Care Records Dataset in England. PLoS Medicine. 2023 Nov 3;20(11):e1004310.
- Chen S, Finkenstädt B. Bayesian spline-based hidden Markov models with applications to actimetry data and sleep analysis. Journal of the American Statistical Association. 2024 Oct 1;119(548):2833-43.
