Statistical meta-analysis for ordinal categorical data
Paper
Paper/Presentation Title | Statistical meta-analysis for ordinal categorical data |
---|---|
Presentation Type | Paper |
Authors | Hossain, Md. Belal (Author) and Khan, Shahjahan (Author) |
Editors | Ahmed, Munir |
Journal or Proceedings Title | Proceedings of the 11th Islamic Countries Conference on Statistical Sciences |
Journal Citation | 21, pp. 699-705 |
Number of Pages | 7 |
Year | 2012 |
Place of Publication | Lahore, Pakistan |
ISBN | 9789698858094 |
Web Address (URL) of Paper | https://old.isoss.net/downloads/Proc%20ICCS-11.pdf |
Web Address (URL) of Conference Proceedings | https://isoss.net/organization-2/ |
Conference/Event | 11th Islamic Countries Conference on Statistical Sciences |
Event Details | 11th Islamic Countries Conference on Statistical Sciences Parent Islamic Countries Conference on Statistical Sciences (ICCS) Delivery In person Event Date 19 to end of 22 Dec 2011 Event Location Lahore, Pakistan |
Abstract | Traditionally the odds ratio (OR) is used for measuring the extent of association between exposure and its binary outcomes in randomised controlled trials (RCTs) and similar studies. It is inapplicable if the outcomes are on an ordinal scale with more than two categories. In those studies, the generalised odds ratio (GOR) is used for summarising the difference between two stochastically ordered distributions of an ordinal categorical variable. Meta-analysis combines data from various independent trials in estimating the overall effect measure to make the sample size larger so that the inference based on the |
Keywords | generalised odds ratio; ordinal data; multinomial distribution; meta-analysis |
ANZSRC Field of Research 2020 | 429999. Other health sciences not elsewhere classified |
490501. Applied statistics | |
490509. Statistical theory | |
Byline Affiliations | Department of Mathematics and Computing |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q14vq/statistical-meta-analysis-for-ordinal-categorical-data
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