Tree-based methods and a mixed ridge estimator for analyzing longitudinal data with correlated predictors
Due to recent advances in technology that facilitate acquisition of multi-parameter defined phenotypes, new opportunities have arisen for predicting patient outcomes based on individual specific cell subset changes. The data resulting from these trials can be a challenge to analyze, as predictors ma...
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| Language: | ENG |
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ScholarWorks@UMass Amherst
2011
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI3482618 |