A Bayesian Evaluation of Subtyping Methods in Parkinson’s Disease

QR Code

A Bayesian Evaluation of Subtyping Methods in Parkinson’s Disease

Parkinson’s disease (PD) has significant heterogeneity in its presentation. To explain this heterogeneity, several motor subtypes have been proposed. These subtypes make assumptions about how symptoms change over time, the ability to measure symptoms, and the relationships between different symptoms...

Full description

Bibliographic Details
Main Author:	Johnson, Andrew Robert
Format:	Thesis
Published:	Curtin University 2019
Online Access:	http://hdl.handle.net/20.500.11937/79166

Similar Items

Prevalence and Subtypes of Mild Cognitive Impairment in Parkinson's Disease.
by: Lawrence, B., et al.
Published: (2016)

Motor Heterogeneity in Parkinson's Disease: A Bayesian Perspective
by: Johnson, A., et al.
Published: (2017)

Motor Subtype as a Predictor of Future Working Memory Performance in Idiopathic Parkinson's Disease
by: Johnson, A., et al.
Published: (2016)

The unified parkinson's disease rating scale score in parkinson's disease patients with and without cognitive impairment
by: Hilmi, Abdullah
Published: (2007)

Improving assessment methods for freezing of gait in people with Parkinson’s disease
by: Scully, Aileen Eugenia
Published: (2022)

Factor Structure of the Ways of Coping Questionnaire in Parkinson's Disease
by: Corti, E., et al.
Published: (2018)

Bayesian approach to meta-analysis with joint modelling of longitudinal and time-to-event outcomes in dementia and subtypes
by: Guure, Chris Bambey
Published: (2018)

Suitability of the depression, anxiety, and stress scale in Parkinson's disease
by: Johnson, A., et al.
Published: (2016)

Driving assessment in Parkinson's disease - A novel predictor of performance?
by: Cordell, Richard, et al.
Published: (2008)

Treatment of depression and anxiety in Parkinson’s Disease
by: Troeung, Lakkhina
Published: (2013)

The Measurement and Nature of Impulsivity in Parkinson’s disease
by: Booth, Leon David
Published: (2020)

Beneficial role of vitexin in Parkinsons disease
by: Mustapha, Musa, et al.
Published: (2023)

Transgenic nematodes as a model for Parkinson’s disease
by: Bodhicharla, Rakesh Kumar
Published: (2012)

Activities of Daily Living, Depression, and Quality of Life in Parkinson’s Disease
by: Lawrence, B., et al.
Published: (2014)

Analysis of mitochondrial haemoglobin in Parkinson's disease brain
by: Shephard, Freya, et al.
Published: (2016)

Literature Review on Acupuncture Treatment for Parkinson’s Disease
by: Teng, Le-xus, et al.
Published: (2024)

A new automatic method of parkinson disease identiﬁcation using complex-valued neural network
by: Olanrewaju, Rashidah Funke, et al.
Published: (2017)

Intelligent glove for suppression of resting tremor in parkinson’s disease
by: M. Zulkefli, Adibah, et al.
Published: (2019)

Environmental risk factors of Parkinson’s disease: a scoping review
by: Faeiz Syezri Adzmin Jaafar,, et al.
Published: (2024)

Parkinson’s Disease - A review on treatment strategies and its advances
by: Subashini, Raman, et al.
Published: (2020)

Impulse control behaviours in a Malaysian Parkinson’s disease population
by: Md. Rani, Shahrul Azmin, et al.
Published: (2016)

Limbic grey matter changes in early Parkinson's disease
by: Li, Xingfeng, et al.
Published: (2017)

Nonpharmacological Interventions for Mild Cognitive Impairment in Parkinson’s Disease
by: Lawrence, Blake Justin
Published: (2016)

Cognitive reserve, executive function, and memory in parkinson’s disease
by: Loftus, Andrea, et al.
Published: (2021)

Predicting Parkinson’s Disease Using Machine Learning Model
by: Sanjay Aswath, K.S.M, et al.
Published: (2024)

Validity of driving simulator in assessing drivers with Parkinson's Disease
by: Lee, Hoe, et al.
Published: (2008)

Cognitive behaviour therapy for depression and anxiety in Parkinson's disease
by: Egan, Sarah, et al.
Published: (2015)

Modified Mindfulness-Based Cognitive Therapy for Depressive Symptoms in Parkinson's Disease: A Pilot Trial
by: Rodgers, S., et al.
Published: (2019)

Implementation of Bayesian methods in the pharmaceutical industry
by: Grieve, Andrew P.
Published: (1992)

C-Abl inhibition; a novel therapeutic target for Parkinson’s disease
by: Abushouk, Abdelrahman Ibrahim, et al.
Published: (2018)

The relationship between sleep and cognition in Parkinson's disease: A meta-analysis
by: Pushpanathan, M.E., et al.
Published: (2016)

Integrated Care for Aged Parkinson’s Disease Patient: A Case Study
by: Thamayanthi Naidu, Manoharan, et al.
Published: (2023)

Application of neural networks in early detection and diagnosis of parkinson's disease
by: Olanrewaju, Rashidah Funke, et al.
Published: (2014)

Tubulin and tau: Possible targets for diagnosis of Parkinson’s and Alzheimer’s diseases
by: Salama, Mohamed, et al.
Published: (2018)

Physiotherapy and occupational therapy and mild to moderate Parkinson Disease — Reply
by: Clarke, Carl E., et al.
Published: (2016)

Insights into Parkinson’s disease from computational models of the basal ganglia
by: Humphries, Mark D., et al.
Published: (2018)

Insights into Parkinson’s disease from computational models of the basal ganglia
by: Humphries, Mark D., et al.
Published: (2018)

Trophic factors differentiate dopamine neurons vulnerable to Parkinson's disease
by: Reyes, S., et al.
Published: (2013)

Would people with Parkinson's disease benefit from palliative care?
by: Hudson, P., et al.
Published: (2006)

Coping processes and health-related quality of life in Parkinson’s disease
by: Bucks, R., et al.
Published: (2011)