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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Bibliographic Details
Main Author: Nik Idris, Nik Ruzni
Format: Article
Language:English
Published: Universiti Teknologi Malaysia 2011
Subjects:
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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