|Themes||Biostatistics; Computational Statistics; General Theory and Methodology; Multivariate and High Dimensional Data.|
Javier Rubio is a Lecturer in the Department of Statistical Science at University College London. He joined the Department in April 2021, and previously was a Lecturer in Statistics in the Department of Mathematics at King's College London. Before that, he was a Research Fellow at the London School of Hygiene and Tropical Medicine and the University of Warwick. He has a PhD in Statistics from the University of Warwick.
Bayesian Statistics, Objective Bayes, Model Selection, Survival Models, Longitudinal Models, Flexible distributions, Biostatistics.
- Rossell, D. and Rubio, F. J. (2022+). Additive Bayesian variable selection under censoring and misspecification. Statistical Science, in press.
- A. Eletti, G. Marra, M. Quaresma, R. Radice & Rubio, F. J. (2022+). A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology, with . Journal of the Royal Statistical Society: Series C, in press.
- Rubio, F. J. and Drikvandi, R. (2022+). MEGH: A parametric class of general hazard models for clustered survival data. Statistical Methods in Medical Research, in press.
- Rubio, F.J. and Alvares, D. (2021). A tractable Bayesian joint model for longitudinal and survival data, with D. Alvares. Statistics in Medicine, 40: 4213-4229.