Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Comparing logistic regression methods for completely separated and quasi-separated data
Dissertation (MSc)--University of Pretoria, 2013.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613712716660736 |
|---|---|
| access_status_str | Open Access |
| author2 | Fletcher, Lizelle |
| author_browse | Fletcher, Lizelle |
| author_facet | Fletcher, Lizelle |
| collection | Thesis |
| dc_rights_str_mv | © 2013 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2013. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/33314 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:30.710Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/33314 Comparing logistic regression methods for completely separated and quasi-separated data Fletcher, Lizelle mich.botes@gmail.com Botes, Michelle Regression methods UCTD C14/4/166/gm Dissertation (MSc)--University of Pretoria, 2013. An occurrence which is sometimes observed in a model based on dichotomous dependent variables is separation in the data. Separation in the data is when one or more of the independent variables can perfectly predict some binary outcome and it primarily occurs in small samples. There are three different mutually exclusive and exhaustive classes into which the data from a logistic regression can be classified: complete separation, quasi-complete separation and overlap. Separation (either complete or quasi-complete) in the data gives rise to a number of problems since it implies in nite or zero maximum likelihood estimates which are idealistic and does not happen in practice. In this dissertation the theory behind a logistic regression model, the definition of separation and different methods to deal with separation are discussed in part I. The methods that will be focused on are exact logistic regression, Firth s method which penalises the likelihood function and hidden logistic regression. In part II of this dissertation the three fore mentioned methods will be compared to one another. This will be done by applying each method to data sets which exhibit either complete or quasi-complete separation for different sample sizes and different covariate types. Statistics Unrestricted 2014-02-07T10:05:24Z 2014-02-07T10:05:24Z 2014 2013 Dissertation Botes, M 2013, Comparing logistic regression methods for completely separated and quasi-separated data, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd<http://hdl.handle.net/2263/33314> http://hdl.handle.net/2263/33314 en © 2013 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Regression methods UCTD C14/4/166/gm Comparing logistic regression methods for completely separated and quasi-separated data |
| title | Comparing logistic regression methods for completely separated and quasi-separated data |
| title_full | Comparing logistic regression methods for completely separated and quasi-separated data |
| title_fullStr | Comparing logistic regression methods for completely separated and quasi-separated data |
| title_full_unstemmed | Comparing logistic regression methods for completely separated and quasi-separated data |
| title_short | Comparing logistic regression methods for completely separated and quasi-separated data |
| title_sort | comparing logistic regression methods for completely separated and quasi separated data |
| topic | Regression methods UCTD C14/4/166/gm |
| url | http://hdl.handle.net/2263/33314 |