Estimating the bias in meta analysis estimates based on fixed effect model for data with missing variability measures

Estimating the bias in meta analysis estimates based on fixed effect model for data with missing variability measures

A common drawback with meta analysis is when the variability measures, particularly the variances , are not reported, or “missing” in the individual study. Among the approaches adopted in handling this problem is through exclusion of the studies with missing variances. Alternatively, the missing s...

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Bibliographic Details
Main Author: Nik Idris, Nik Ruzni
Format: Proceeding Paper
Language:English
English
Published: 2012
Subjects:
Q Science (General)
Online Access:http://irep.iium.edu.my/25596/
http://irep.iium.edu.my/25596/1/irie_2012_1212.pdf
http://irep.iium.edu.my/25596/4/cert_of_participation.pdf

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