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Variable selection in logistic regression, with special application to medical data
Bibliography: pages 121-126.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2016
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| _version_ | 1867613246725292032 |
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| access_status_str | Open Access |
| author | Joubert, Georgina |
| author2 | Zucchini, Walter |
| author_browse | Joubert, Georgina Zucchini, Walter |
| author_facet | Zucchini, Walter Joubert, Georgina |
| author_sort | Joubert, Georgina |
| collection | Thesis |
| description | Bibliography: pages 121-126. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/17006 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:05.164Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/17006 Variable selection in logistic regression, with special application to medical data Joubert, Georgina Zucchini, Walter Mathematical Statistics Bibliography: pages 121-126. In this thesis, the various methods of variable selection which have been proposed in the statistical, epidemiological and medical literature for prediction and estimation problems in logistic regression will be described. The procedures will be applied to medical data sets. On the basis of the literature review as well as the applications to examples, strengths and weaknesses of the approaches will be identified. The procedures will be compared on the basis of the results obtained, their appropriateness for the specific aim of the analysis, and demands they place on the analyst and researcher, intellectually and computationally. In particular, certain selection procedures using bootstrap samples, which have not been used before, will be investigated, and the partial Gauss discrepancy will be extended to the case of logistic regression. Recommendations will be made as to which approaches are the most suitable or most practical in different situations. Most statistical texts deal with issues regarding prediction, whereas the epidemiological literature focuses on estimation. It is therefore hoped that the thesis will be a useful reference for those, statistically or epidemiologically trained, who have to deal with issues regarding variable selection in logistic regression. When fitting models in general, and logistic regression models in particular, it is standard practice to determine the goodness of fit of models, and to ascertain whether outliers or influential observations are present in a data set. These aspects will not be discussed in this thesis, although they were considered when fitting the models. 2016-02-15T07:07:51Z 2016-02-15T07:07:51Z 1994 Master Thesis Masters MSc http://hdl.handle.net/11427/17006 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Mathematical Statistics Joubert, Georgina Variable selection in logistic regression, with special application to medical data |
| thesis_degree_str | Master's |
| title | Variable selection in logistic regression, with special application to medical data |
| title_full | Variable selection in logistic regression, with special application to medical data |
| title_fullStr | Variable selection in logistic regression, with special application to medical data |
| title_full_unstemmed | Variable selection in logistic regression, with special application to medical data |
| title_short | Variable selection in logistic regression, with special application to medical data |
| title_sort | variable selection in logistic regression with special application to medical data |
| topic | Mathematical Statistics |
| url | http://hdl.handle.net/11427/17006 |
| work_keys_str_mv | AT joubertgeorgina variableselectioninlogisticregressionwithspecialapplicationtomedicaldata |