A flexible mixed-effect negative binomial regression model for detecting unusual increases in MRI lesion counts in individual multiple sclerosis patients-Reference-Cited by-同舟云学术

A flexible mixed-effect negative binomial regression model for detecting unusual increases in MRI lesion counts in individual multiple sclerosis patients

Published:2015-03-18 Issue:13 Volume:34 Page:2165-2180
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Kondo Yumi¹,Zhao Yinshan²,Petkau John¹

Affiliation:

1. Department of Statistics; University of British Columbia; Vancouver Canada

2. MS/MRI Research Group, Department of Medicine; University of British Columbia; Vancouver Canada

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Multiple Sclerosis Society of Canada

Milan & Maureen Ilich Foundation

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6484/fullpdf

Reference23 articles.

1. The role of MRI as a surrogate outcome measure in multiple sclerosis;McFarland;Multiple Sclerosis,2002

2. Data Monitoring Committees in Clinical Trials

3. Evaluation of safety monitoring guidelines based on MRI lesion activity in multiple sclerosis;Riddell;Neurology,2011

4. Detection of unusual increases in MRI lesion counts in multiple sclerosis patients;Zhao;Journal of the American Statistical Association,2014

5. A constructive definition of Dirichlet priors;Sethuraman;Statistica Sinica,1994

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