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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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 |
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10.4088/JCP.10m06168blu |
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DUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE |
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DUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE Kuk, A.Y.C. Li, J. Rush, A.J. |
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Kuk, A.Y.C. Li, J. Rush, A.J. |
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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 |
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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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