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Browsing by Author "Lin, Jeffrey"
Now showing items 1-8 of 8
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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 ... -
Expanded and Independent Spanish validation of the <scp>MDS</scp> ‐ Non Motor Rating Scale
Cubo, Esther; Luo, Sheng; Martínez-Martín, Pablo; Stebbins, Glenn T; Lin, Jeffrey; Choi, Dongrak; García-Bustillo, Alvaro; ... (13 authors) -
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; ... (22 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 ...