Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
This paper examines, analytically, the biases introduced in the meta analysis estimates when the study-level variances are missing with non-random missing mechanism (MNAR). Two common approaches in handling this problem is considered, namely, the missing variances are imputed, and the studies with m...
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Format: | Article |
Language: | English |
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Universiti Teknologi Malaysia
2011
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Online Access: | http://irep.iium.edu.my/7219/4/estimating_the_bias_in_meta_analysis_estimates_for_continuous_data.pdf http://irep.iium.edu.my/7219/ http://www.fs.utm.my/matematika/content/view/278/31/ |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English |