Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care

10.4088/JCP.10m06168blu

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Main Authors: Kuk, A.Y.C., Li, J., Rush, A.J.
Other Authors: DUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE
Format: Article
Published: 2014
Online Access:http://scholarbank.nus.edu.sg/handle/10635/110623
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spelling sg-nus-scholar.10635-1106232023-10-30T09:16:40Z Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care Kuk, A.Y.C. Li, J. Rush, A.J. DUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE STATISTICS & APPLIED PROBABILITY 10.4088/JCP.10m06168blu Journal of Clinical Psychiatry 71 11 1502-1508 JCLPD 2014-11-26T09:05:10Z 2014-11-26T09:05:10Z 2010-11 Article Kuk, A.Y.C., Li, J., Rush, A.J. (2010-11). Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care. Journal of Clinical Psychiatry 71 (11) : 1502-1508. ScholarBank@NUS Repository. https://doi.org/10.4088/JCP.10m06168blu 01606689 http://scholarbank.nus.edu.sg/handle/10635/110623 000285228000012 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.4088/JCP.10m06168blu
author2 DUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE
author_facet DUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE
Kuk, A.Y.C.
Li, J.
Rush, A.J.
format Article
author Kuk, A.Y.C.
Li, J.
Rush, A.J.
spellingShingle Kuk, A.Y.C.
Li, J.
Rush, A.J.
Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
author_sort Kuk, A.Y.C.
title Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
title_short Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
title_full Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
title_fullStr Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
title_full_unstemmed Recursive subsetting to identify patients in the STAR*D: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
title_sort recursive subsetting to identify patients in the star*d: a method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/110623
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