Ordinal Outcome Prediction and Treatment Selection in Personalized Medicine
In personalized medicine, two important tasks are predicting disease risk and selecting appropriate treatments for individuals based on their baseline information. The dissertation focuses on providing improved risk prediction for ordinal outcome data and proposing score-based test to identify infor...
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| Format: | Others |
| Language: | en |
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Harvard University
2015
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| Online Access: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463982 |