Identification of treatment responders based on multiple longitudinal outcomes with applications to multiple sclerosis patients-Reference-Cited by-同舟云学术

Identification of treatment responders based on multiple longitudinal outcomes with applications to multiple sclerosis patients

Published:2017 Issue: Volume: Page:
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Kondo Yumi¹,Zhao Yinshan²,Petkau John³

Affiliation:

1. Robert Bosch LLC Research and Technology Center North America; Data Mining Services and Solutions; Palo Alto California U.S.A.

2. BC Centre for Improved Cardiovascular Health, Division of Cardiology, Department of Medicine; University of British Columbia; Vancouver BC Canada

3. Department of Statistics; University of British Columbia; Vancouver BC Canada

Funder

UBC MS/MRI Research Group Multiple Sclerosis Society of Canada Natural Sciences and Engineering Research Council of Canada Milan & Maureen Ilich Foundation

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference37 articles.

1. Petkau AJ Statistical and design considerations for multiple sclerosis clinical trials Goodkin DE Rudick RA Multiple sclerosis: advances in clinical trial design, treatment and future perspectives Springer-Verlag London 1996

2. Characterization of MRI response to treatment with interferon beta-1b: contrast-enhancing MRI lesion frequency as a primary outcome measure;Stone;Neurology,1997

3. Estimating probability of non-response to treatment using mixture distributions;Pavlic;Statistics in Medicine,2001

4. Finite mixture modeling with mixture outcomes using the EM algorithm;Muthén;Biometrics,1999

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