A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies-Reference-Cited by-同舟云学术

A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies

Published:2019-11-14 Issue:1 Volume:76 Page:87-97
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Jiang Bei¹^ORCID,Petkova Eva²³,Tarpey Thaddeus²,Ogden R. Todd⁴

Affiliation:

1. Department of Mathematical and Statistical SciencesUniversity of Alberta Edmonton Alberta Canada

2. Department of Population HealthNew York University New York New York

3. Department of Child and Adolescent PsychiatryNew York University New York New York

4. Department of BiostatisticsColumbia University New York New York

Funder

National Institute of Mental Health

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13151

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5. Neuroimaging‐based biomarkers for treatment selection in major depressive disorder;Dunlop B.W.;Dialogues in Clinical Neuroscience,2014

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