Volume 12, Issue 3, September 2013, Pages 253 - 265
On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study
Thammarat Panityakul, Chinnaphong Bumrungsup, Guido Knapp
Received 9 September 2012, Accepted 13 March 2013, Available Online 1 September 2013.
- https://doi.org/10.2991/jsta.2013.12.3.4How to use a DOI?
- Binomial-normal hierarchical model; covariate; meta-analysis; relative risk
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Thammarat Panityakul AU - Chinnaphong Bumrungsup AU - Guido Knapp PY - 2013 DA - 2013/09 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 - https://doi.org/10.2991/jsta.2013.12.3.4 ID - Panityakul2013 ER -