Sample enrichment for clinical trials to show delay of onset in huntington disease-Reference-Cited by-同舟云学术

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Sample enrichment for clinical trials to show delay of onset in huntington disease

Published:2019-01-14 Issue:2 Volume:34 Page:274-280
ISSN:0885-3185
Container-title:Movement Disorders
language:en
Short-container-title:Mov Disord.

Author:

Paulsen Jane S.¹,Lourens Spencer²,Kieburtz Karl³,Zhang Ying²

Affiliation:

1. Departments of Neurology, Psychiatry, and Psychological and Brain SciencesUniversity of Iowa Iowa City, Iowa USA

2. Department of BiostatisticsIndiana University Fairbanks School of Public Health and School of Medicine Indianapolis, Indiana USA

3. Department of NeurologyUniversity of Rochester Medical Center Rochester, New York USA

Funder

National Center for Advancing Translational Sciences

CHDI Foundation

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mds.27595

Reference49 articles.

1. Clinical trials and late-stage drug development for Alzheimer's disease: an appraisal from 1984 to 2014

2. Fatigue and depression in multiple sclerosis: pharmacological and non-pharmacological interventions

3. Guidelines for clinical pharmacological practices in Huntington's disease

4. Tetrabenazine: Spotlight on Drug Review

5. Initial treatment of Parkinson's disease in 2016: The 2000 consensus conference revisited

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1. Time to Functional Loss as an Endpoint in Huntington's Disease Trials: Enrichment and Sample Size;Movement Disorders;2024-08-05

2. Dynamic undirected graphical models for time‐varying clinical symptom and neuroimaging networks;Statistics in Medicine;2024-07-15

3. Prognostic enrichment for early-stage Huntington’s disease: An explainable machine learning approach for clinical trial;NeuroImage: Clinical;2024

4. Understanding the Implications of a Complete Case Analysis for Regression Models with a Right-Censored Covariate;The American Statistician;2023-11-13

5. clusterMLD: An Efficient Hierarchical Clustering Method for Multivariate Longitudinal Data;Journal of Computational and Graphical Statistics;2023-01-12

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