期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, ; ()
Rapid developments in third-party online payment platforms now make it possible to record massive bank card transaction data. Clustering on such trans......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2019; 68 (1)
In mobility network capacity planning, characterizing the mobility network traffic is one of the most challenging tasks. Besides the growth trend and ......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2019; 68 (2)
We propose a flexible design for the identification of optimal dose combinations in dual-agent dose finding clinical trials. The design is called AAA,......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2019; 68 (2)
The landscape of oncology drug development has recently changed with the emergence of molecularly targeted agents and immunotherapies. These new thera......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2019; 68 (4)
With the emergence of novel targeted anticancer agents, drug combinations have been recognized as cutting edge development in oncology. However, limit......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2018; 67 (4)
Functional principal component analysis (FPCA) is a powerful approach for modelling noisy and irregularly measured longitudinal data. Similarly to pri......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2017; 66 (4)
Motivated by the recent acquired immune deficiency syndrome clinical trial study A5175, we propose a semiparametric framework to describe time-to-even......
期刊： JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2017; 66 (5)
A biosimilar product refers to a follow-on biologic that is intended to be approved for marketing on the basis of biosimilarity to an existing patente......
