On Optimal Prediction Rules With Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data
This dissertation consists of three papers related to missing data, prediction, and large scale inference. The first paper defines the problem of obtaining predictions from an exist- ing clinical risk prediction model when covariates are missing. We introduce the Pattern Mixture Kernel Submodel - su...
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| Format: | Others |
| Language: | en |
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VANDERBILT
2017
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| Online Access: | http://etd.library.vanderbilt.edu/available/etd-09062017-101455/ |