Details of Research Outputs

This work focuses on automatically and simultaneously selecting and estimating the coefficients of grouped variables in longitudinal data. It is motivated by a large cohort study, the UK North Staffordshire Osteoarthritis Project (NorStOP), which contains highly associated continuous, binary and ordinal variables. To select grouped variables associated with the target response efficiently, we propose a newly-developed generalized estimating equation (GEE) estimation. The innovation of this method is to study and implement GEE with group-lasso rather than traditional lasso which lacks consideration of group effects. We applied the proposed approach to the NorStOP data, and the results turned out to be reasonable. © 2019 IOP Publishing Ltd. All rights reserved.