On selection of models for continuos meta analysis data with incomplete variability measures
The choice between the fixed and random effects models for providing an overall meta analysis estimates may affect the accuracy of those estimates. When the study-level standard deviations (SDs) are not completely reported or are “missing” selection of a meta analysis model should be done with more...
Main Authors: | Nik Idris, Nik Ruzni, Sarudin, Norraida |
---|---|
Format: | Article |
Language: | English |
Published: |
Pushpa Publishing House
2011
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/7217/1/FJMS-_Final_Version.pdf |
Similar Items
-
The effects of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations
by: Nik Ruzni, Nik Idris, et al.
Published: (2010) -
On pooling different levels of data in estimating parameters of continuous meta-analysis
by: Nik Idris, Nik Ruzni, et al.
Published: (2014) -
On pooling different levels of data in estimating parameters of continuous meta-analysis
by: Nik Idris, Nik Ruzni, et al.
Published: (2014) -
An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations
by: Nik Idris, Nik Ruzni, et al.
Published: (2010) -
An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations
by: Nik Idris, Nik Ruzni, et al.
Published: (2010)