Now showing items 1-7 of 7

    • Deep learning for the dynamic prediction of multivariate longitudinal and survival data. 

      Lin, Jeffrey; Luo, Sheng (Statistics in medicine, 2022-03-28)
      The joint model for longitudinal and survival data improves time-to-event predictions by including longitudinal outcome variables in addition to baseline covariates. However, in practice, joint models may be limited by parametric ...
    • Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer's disease progression. 

      Lin, Jeffrey; Li, Kan; Luo, Sheng (Statistical methods in medical research, 2020-07-29)
      The random survival forest (RSF) is a non-parametric alternative to the Cox proportional hazards model in modeling time-to-event data. In this article, we developed a modeling framework to incorporate multivariate longitudinal ...
    • Prognostic Modeling of Parkinson's Disease Progression Using Early Longitudinal Patterns of Change. 

      Ren, Xuehan; Lin, Jeffrey; Stebbins, Glenn T; Goetz, Christopher G; Luo, Sheng (Movement disorders : official journal of the Movement Disorder Society, 2021-07-30)
      <h4>Background</h4>Predicting Parkinson's disease (PD) progression may enable better adaptive and targeted treatment planning.<h4>Objective</h4>Develop a prognostic model using multiple, easily acquired longitudinal measures ...
    • Successful use of the Unified Dyskinesia Rating Scale regardless of PD- or dyskinesia-duration. 

      Ren, Xuehan; Lin, Jeffrey; Luo, Sheng; Goetz, Christopher G; Stebbins, Glenn T; Cubo, Esther (Parkinsonism & related disorders, 2019-10)
      OBJECTIVE:We assessed differential item functioning (DIF) in the Unified Dyskinesia Rating Scale (UDysRS) to evaluate bias risk from the duration of Parkinson's Disease (PD) and duration of dyskinesia. BACKGROUND:Assessing ...
    • Validation of the Arabic Version of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale. 

      Khalil, Hanan; Aldaajani, Zakiyah F; Aldughmi, Mayis; Al-Sharman, Alham; Mohammad, Tareq; Mehanna, Raja; El-Jaafary, Shaimaa I; ... (36 authors) (Movement disorders : official journal of the Movement Disorder Society, 2022-04)
      <h4>Background</h4>The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has become the gold standard for evaluating different domains in Parkinson's disease (PD), and it is commonly used in ...
    • Validation of the Finnish Version of the Unified Dyskinesia Rating Scale. 

      Kaasinen, Valtteri; Scheperjans, Filip; Kärppä, Mikko; Korpela, Jaana; Brück, Anna; Sipilä, Jussi OT; Joutsa, Juho; ... (17 authors) (European neurology, 2021-07-14)
      <h4>Introduction</h4>The Unified Dyskinesia Rating Scale (UDysRS) was developed to provide a comprehensive rating tool of dyskinesia in Parkinson's disease (PD). Because dyskinesia therapy trials involve multicenter studies, ...
    • Validation of the Polish version of the Unified Dyskinesia Rating Scale (UDysRS). 

      Siuda, Joanna; Boczarska-Jedynak, Magdalena; Budrewicz, Sławomir; Dulski, Jarosław; Figura, Monika; Fiszer, Urszula; Gajos, Agata; ... (30 authors) (Neurologia i neurochirurgia polska, 2021-02-02)
      <h4>Background</h4>In 2008, the Movement Disorders Society published the Unified Dyskinesia Rating Scale (UDysRS). This has become the established tool for assessing the severity and disability associated with dyskinesia ...