1 citations · 1 across the 3 of their papers we have counts for
3 papers
q-bio.QM2019
Dynamic Prediction of Competing Risk Events using Landmark Sub-distribution Hazard Model with Multiple Longitudinal Biomarker
Cai Wu, Liang Li, Ruosha Li
The cause-specific cumulative incidence function (CIF) quantifies the subject-specific disease risk with competing risk outcome. With longitudinally collected biomarker data, it is…
stat.ME2017
Quantifying and Estimating the Predictive Accuracy for Censored Time-to-Event Data with Competing Risks
Cai Wu, Liang Li
This paper focuses on quantifying and estimating the predictive accuracy of prognostic models for time-to-event outcomes with competing events. We consider the time-dependent discr…
stat.AP2016★ 1 cited
Dynamic Prediction for Multiple Repeated Measures and Event Time Data: An Application to Parkinson's Disease
Jue Wang, Sheng Luo, Liang Li
In many clinical trials studying neurodegenerative diseases such as Parkinson's disease (PD), multiple longitudinal outcomes are collected to fully explore the multidimensional imp…