Statistical Methods to Adjust for Measurement Error in Risk Prediction Models and Observational Studies
The first part of this dissertation focuses on methods to adjust for measurement error in risk prediction models. In chapter one, we propose a nonparametric adjustment for measurement error in time to event data. Measurement error in time to event data used as a predictor will lead to inaccurate pre...
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| Language: | en_US |
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Harvard University
2014
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| Online Access: | http://dissertations.umi.com/gsas.harvard:11273 http://nrs.harvard.edu/urn-3:HUL.InstRepos:11744468 |