Title:
NON-PARAMETRIC ANALYSIS FOR TIME SERIES GAP DATA WITH APPLICATIONS IN ACUTE MYOCARDIAL INFARCTION DISEASE
NON-PARAMETRIC ANALYSIS FOR TIME SERIES GAP DATA WITH APPLICATIONS IN ACUTE MYOCARDIAL INFARCTION DISEASE
Author(s)
Li, Hangfan
Advisor(s)
Houdré, Christian
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Abstract
Gap data problems are very popular recently, since scientists are more curious about what occurs during a period where information might be missing or unrecorded. Here, a nonparametric method called Imputed Empirical estimating (IEE) method will be illustrated. Moreover, using IEE into the medical field to estimate T_1, which is the first recovery time after an acute myocardial infraction will be discussed as well. Simulation studies are shown to assess the accuracy of the IEE estimate and demonstrate that the IEE method outperformed all other algorithms. An IEE estimate of the survival function based on the real-life data will also be provided to show the real-world application. Mathematical proofs will be provided if applicable.
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Date Issued
2021-02-15
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Text
Resource Subtype
Dissertation