Dissecting the Domains of <scp>Parkinson's Disease</scp> : Insights from Longitudinal Item Response Theory Modeling-Reference-Cited by-同舟云学术

Dissecting the Domains of Parkinson's Disease : Insights from Longitudinal Item Response Theory Modeling

Published:2022-07-16 Issue:9 Volume:37 Page:1904-1914
ISSN:0885-3185
Container-title:Movement Disorders
language:en
Short-container-title:Movement Disorders

Author:

Luo Sheng¹^ORCID,Zou Haotian²,Stebbins Glenn T.³,Schwarzschild Michael A.⁴,Macklin Eric A.⁵⁶,Chan James⁵,Oakes David⁷,Simuni Tanya⁸,Goetz Christopher G.³,

Affiliation:

1. Department of Biostatistics & Bioinformatics Duke University Durham North Carolina USA

2. Department of Biostatistics University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

3. Department of Neurological Sciences Rush University Medical Center Chicago Illinois USA

4. Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA

5. Biostatistics Center Massachusetts General Hospital Boston Massachusetts USA

6. Department of Medicine Harvard Medical School Boston Massachusetts USA

7. Department of Biostatistics and Computational Biology University of Rochester Medical Center Rochester New York USA

8. Department of Neurology Northwestern University Medical Center Chicago Illinois USA

Funder

National Institute on Aging

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mds.29154

Reference29 articles.

1. Rationale for use of the Clinical Dementia Rating Sum of Boxes as a primary outcome measure for Alzheimer's disease clinical trials

2. Unified Huntington's disease rating scale: Reliability and consistency

3. Item Response Model Adaptation for Analyzing Data from Different Versions of Parkinson’s Disease Rating Scales

4. Improved Utilization of ADAS-Cog Assessment Data Through Item Response Theory Based Pharmacometric Modeling

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