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Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2004.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2013
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| _version_ | 1867613664884817920 |
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| access_status_str | Open Access |
| author2 | upetd@ais.up.ac.za |
| author_browse | upetd@ais.up.ac.za |
| author_facet | upetd@ais.up.ac.za |
| collection | Thesis |
| dc_rights_str_mv | © 2004, 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 (Mathematical Statistics))--University of Pretoria, 2004. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/30711 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:45.040Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| 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:2263/30711 Analysis of cluster randomised trials with discrete outcomes upetd@ais.up.ac.za Prof H T Groeneveld Dr J B Levin Letsoalo, Maupi Eric UCTD Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2004. A cluster randomisation trial (CRT) is an experiment in which a researcher randomises intact clusters (e.g. families, schools, communities) rather than individuals in experimental trials. Reasons for adopting cluster randomisation trials are diverse. In this thesis, issues such as the choice of design, sample size calculations and approaches to the analyses, that arise in conducting such trials are discussed, with the emphasis on trials with binary outcomes. Three approaches that are widely employed in CRT’s, namely the aggregated approach, the disaggregated approach and the adjusted chi-square approach, were employed on our data sets and it was found that in some cases the methods gave differing results. In particular, the disaggregated analysis is able to adjust for individual level covariates. Therefore, gaining power, and sometimes detect statistically significant differences where the other methods have not been able to. Statistics MSc (Mathematical Statistics) restricted 2013-09-09T07:25:20Z 2006-03-29 2013-09-09T07:25:20Z 2004-11-19 2004-03-29 2006-03-29 Dissertation Letsoalo, M 2004, Analysis of cluster randomised trials with discrete outcomes, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-03292006-151431/ > http://hdl.handle.net/2263/30711 http://upetd.up.ac.za/thesis/available/etd-03292006-151431/ en © 2004, 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 | UCTD Analysis of cluster randomised trials with discrete outcomes |
| title | Analysis of cluster randomised trials with discrete outcomes |
| title_full | Analysis of cluster randomised trials with discrete outcomes |
| title_fullStr | Analysis of cluster randomised trials with discrete outcomes |
| title_full_unstemmed | Analysis of cluster randomised trials with discrete outcomes |
| title_short | Analysis of cluster randomised trials with discrete outcomes |
| title_sort | analysis of cluster randomised trials with discrete outcomes |
| topic | UCTD |
| url | http://hdl.handle.net/2263/30711 http://upetd.up.ac.za/thesis/available/etd-03292006-151431/ |