Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes
Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2022.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2023
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613617690509312 |
|---|---|
| access_status_str | Open Access |
| author2 | Chen, Ding-Geng (Din) |
| author_browse | Chen, Ding-Geng (Din) |
| author_facet | Chen, Ding-Geng (Din) |
| collection | Thesis |
| dc_rights_str_mv | © 2022 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 (Advanced Data Analytics))--University of Pretoria, 2022. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/88970 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:00.149Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| 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:2263/88970 Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes Chen, Ding-Geng (Din) layla7.norman@gmail.com Norman, Layla Meta-analysis Statistics Binary data Individual participant-level data Fixed-effects Random-effects Real data analysis Medical sciences Biostatistics Clinical trials UCTD Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2022. In this essay we will consider the meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes. Numerous techniques will be considered to essentially determine, both theoretically as well as numerically, by the use of real data analysis, whether or not, in certain instances, analyzing individual participant data (IPD) from all investigations undoubtedly gains efficiency over combining summary statistics from each study in a binary setting. We will be considering both the one-step as well as two-step meta-analysis, with the focus being mainly on the standard fixed-effects model and partially on the random-effects model. An application of two different clinical studies will be considered. The first study is called the Cannon (Cannon et al., (2006)[13]) Cardiovascular Clinical Trials which consists of four clinical studies. The second study is called the Bacillus Calmette-Guerin Vaccine Study which consists of a total of 13 clinical studies. We observed that a meta-analysis of summary data is more similar to a meta-analysis of IPD data for the first study, but different for the second study. This is due to the fact that the number of studies are small in both studies. Therefore the asymptotic equivalence should be cautious when the sample size is small and the number of studies is small. In this case, the estimation of the between study variance will be very unstable which will lead to a different conclusion between a meta-analysis of summary statistics (SS) and a meta-analysis of individual participant-level (IPD) data. This work is based upon research supported by the National Research Foundation, South Africa (South Africa DST-NRF-SAMRC SARChI Research Chair in Biostatistics to Professor Ding-Geng Chen, Grant number 114613). Opinions expressed and conclusions arrived at are those of the author and are not necessarily to be attributed to the NRF. Statistics MSc (Advanced Data Analytics) Unrestricted 2023-01-26T07:31:16Z 2023-01-26T07:31:16Z 2019-04-09 2022 Dissertation * S2023 https://repository.up.ac.za/handle/2263/88970 10.25403/UPresearchdata.21436074 en © 2022 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 | Meta-analysis Statistics Binary data Individual participant-level data Fixed-effects Random-effects Real data analysis Medical sciences Biostatistics Clinical trials UCTD Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes |
| title | Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes |
| title_full | Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes |
| title_fullStr | Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes |
| title_full_unstemmed | Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes |
| title_short | Meta-analysis of summary statistics versus individual participant-level data of trials with binary outcomes |
| title_sort | meta analysis of summary statistics versus individual participant level data of trials with binary outcomes |
| topic | Meta-analysis Statistics Binary data Individual participant-level data Fixed-effects Random-effects Real data analysis Medical sciences Biostatistics Clinical trials UCTD |
| url | https://repository.up.ac.za/handle/2263/88970 |