3 papers
stat.ME2026
Functional Cox model for interval-censored data
Yangjianchen Xu, Peijun Sang
Interval-censored data arise frequently in scientific studies, where the event of interest is known only to occur within a specific time interval. In such studies, functional covar…
stat.ME2026
Varying coefficient model for longitudinal data with informative observation times
Yu Gu, Yangjianchen Xu, Peijun Sang
Varying coefficient models are widely used to characterize dynamic associations between longitudinal outcomes and covariates. Existing work on varying coefficient models, however,…
stat.ME2024
Functional principal component analysis with informative observation times
Peijun Sang, Dehan Kong, Shu Yang
Functional principal component analysis has been shown to be invaluable for revealing variation modes of longitudinal outcomes, which serves as important building blocks for foreca…