Prediction of Survival With Long‐Term Disease Progression in Most Common Spinocerebellar Ataxia

Spinocerebellar ataxias are rare dominantly inherited neurodegenerative diseases that lead to severe disability and premature death.

[1]  D. Bruzzese,et al.  Predictors of survival in spinocerebellar ataxia type 2 population from Southern Italy , 2018, Neurological Sciences.

[2]  D. Timmann,et al.  Survival in patients with spinocerebellar ataxia types 1, 2, 3, and 6 (EUROSCA): a longitudinal cohort study , 2018, The Lancet Neurology.

[3]  D. Timmann,et al.  Body Mass Index Decline Is Related to Spinocerebellar Ataxia Disease Progression , 2017, Movement disorders clinical practice.

[4]  U. Ziemann,et al.  Spinocerebellar ataxia type 2: Measures of saccade changes improve power for clinical trials , 2016, Movement disorders : official journal of the Movement Disorder Society.

[5]  Paola Giunti,et al.  Long-term disease progression in spinocerebellar ataxia types 1, 2, 3, and 6: a longitudinal cohort study , 2015, The Lancet Neurology.

[6]  Cécile Proust-Lima,et al.  Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks , 2015, Biometrics.

[7]  S. Tezenas du Montcel,et al.  Survival and severity in dominant cerebellar ataxias , 2015, Annals of clinical and translational neurology.

[8]  S. Pulst,et al.  Modulation of the age at onset in spinocerebellar ataxia by CAG tracts in various genes. , 2014, Brain : a journal of neurology.

[9]  Cécile Proust-Lima,et al.  Joint latent class models for longitudinal and time-to-event data: A review , 2014, Statistical methods in medical research.

[10]  D. Rizopoulos.  Event Time Event Time , 2012 .

[11]  Benoit Liquet,et al.  Choice of Prognostic Estimators in Joint Models by Estimating Differences of Expected Conditional Kullback–Leibler Risks , 2012, Biometrics.

[12]  Alexandra Durr,et al.  Autosomal dominant cerebellar ataxias: polyglutamine expansions and beyond , 2010, The Lancet Neurology.

[13]  Cécile Proust-Lima,et al.  Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model , 2010, Biometrics.

[14]  R. Fimmers,et al.  Responsiveness of different rating instruments in spinocerebellar ataxia patients , 2010, Neurology.

[15]  Cécile Proust-Lima,et al.  Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach. , 2009, Biostatistics.

[16]  David K Whynes,et al.  Health and Quality of Life Outcomes , 2008 .

[17]  L. Baliko,et al.  Spinocerebellar Ataxia Types 1, 2, 3 and 6: the Clinical Spectrum of Ataxia and Morphometric Brainstem and Cerebellar Findings , 2008, The Cerebellum.

[18]  Edsel A Peña,et al.  Parametric latent class joint model for a longitudinal biomarker and recurrent events , 2007, Statistics in medicine.

[19]  Lippincott Williams Wilkins,et al.  Scale for the assessment and rating of ataxia: Development of a new clinical scale , 2006, Neurology.

[20]  A. Durr,et al.  Scale for the Assessment and Rating of Ataxia (SARA) , 2010 .

[21]  Menggang Yu,et al.  Individualized Predictions of Disease Progression Following Radiation Therapy for Prostate Cancer , 2005 .

[22]  T Klockgether,et al.  The natural history of degenerative ataxia: a retrospective study in 466 patients. , 1998, Brain : a journal of neurology.

[23]  R. Prentice.  Covariate measurement errors and parameter estimation in a failure time regression model , 1982 .

[24]  A. Kasuya.  EuroQol--a new facility for the measurement of health-related quality of life. , 1990, Health policy.