Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
When study variances are not reported or ‘missing”, it is common practice in meta analysis to assume that the missing variances are missing completely at random (MCAR). In practice, however, it is possible that the variances are not missing completely at random (NMAR). In this paper, we examine, ana...
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| Main Author: | |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5551/1/skskm2010_manu.pdf http://irep.iium.edu.my/5551/ http://www.skskm.net |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |