Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/104591
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Mathematics | - |
| dc.creator | Kwok, Ngok Sang Sam | - |
| dc.identifier.uri | https://ows.lib.polyu.edu.hk/s/ows/item/3717 | - |
| dc.language.iso | English | - |
| dc.rights | All rights reserved | - |
| dc.subject | Survival Analysis | - |
| dc.subject | High-Dimensional Data Analysis | - |
| dc.subject | Regression Analysis | - |
| dc.subject | Algorithm Design and Optimization | - |
| dc.subject | Statistical Modeling | - |
| dc.title | Statistical Odyssey: From Passion to Practical Impact | - |
| dc.type | Feature Story | - |
| dc.type | OWS | - |
| dcterms.abstract | Entranced by the data's potential, Sam Kwok reflects on his statistical journey from secondary school to pursuing an MPhil in statistics at PolyU. With a vision to merge statistics and healthcare in a Biostatistics PhD, Sam seeks to influence medicine and research. His project, "Survival Analysis with High-Dimensional Incomplete Covariates," delves into critical data analysis aspects, addressing challenges in survival analysis, high-dimensional data, and missing data. | - |
| dcterms.accessRights | open access | - |
| dcterms.issued | 2024-01 | - |
| dcterms.LCSH | Survival analysis (Biometry) | - |
| dcterms.LCSH | Mathematical statistics | - |
| dcterms.educationalLevel | Postgraduate | - |
| Appears in Collections: | Outstanding Work by Students | |
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