On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study

DOI

10.2991/jsta.2013.12.3.4How to use a DOI?

Keywords

Binomial-normal hierarchical model; covariate; meta-analysis; relative risk

Abstract

We consider six different estimators of residual heterogeneity in random-effects meta-regression, five estimators already known and implemented in the R package metaphor and one estimator not yet considered in random-effects meta-regression. In a numerical study, we investigate the properties of these residual heterogeneity estimators as well as the impact of these estimators on the properties of the regression parameter estimates. It turns out that the new estimator performs quite well in terms of bias and mean squared error. The impact of the different residual heterogeneity estimators on the actual confidence coefficient of confidence intervals for regression parameters can be substantially different as shown in the numerical study.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Thammarat Panityakul
AU  - Chinnaphong Bumrungsup
AU  - Guido Knapp
PY  - 2013
DA  - 2013/09/01
TI  - On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study
JO  - Journal of Statistical Theory and Applications
SP  - 253
EP  - 265
VL  - 12
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2013.12.3.4
DO  - 10.2991/jsta.2013.12.3.4
ID  - Panityakul2013
ER  -