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st: Inconsistent tau^2 estimates from metareg


From   Rebecca Boehm <[email protected]>
To   [email protected]
Subject   st: Inconsistent tau^2 estimates from metareg
Date   Fri, 16 May 2003 12:21:10 -0400

Hello all,

I recently completed a meta-analysis on 11 studies. I found that the max likelihood (ml) and restricted max likelihood (reml) estimators of tau^2 consistently produced widely different p-values for covariates when compared to the method of moments (mm) estimator. They usually estimated tau^2 to be zero when hetergeneity was present in the data. An example:

Meta-analysis regression No of studies = 11
tau^2 method reml
tau^2 estimate = 5.0e-0

5
Successive values of tau^2 differ by less than 10^-4 :convergence achieved
---------------------------------------------------------------------------
---
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+-------------------------------------------------------------
---
minedum | .1938276 .0465574 4.16 0.000 .1025768 .2850783
_cons | .16374 .0228645 7.16 0.000 .1189265 .2085535
---------------------------------------------------------------------------
---

. metareg log_RR minedum, wsse( Standard_Error) bsest(mm)

Meta-analysis regression No of studies = 11
tau^2 method mm
tau^2 estimate = .0515

---------------------------------------------------------------------------
---
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+-------------------------------------------------------------
---
minedum | .1229214 .1912227 0.64 0.520 -.2518682 .4977111
_cons | .3722394 .1603357 2.32 0.020 .0579871 .6864916
---------------------------------------------------------------------------
---

Does anyone have some insight as to why the ML estimates of tau^2 are often going to zero despite strong heterogeneity?

Thank you very much,
Becky Boehm
Ph.D student - biostatistics
Department of Biometry and Epidemiology
Medical University of South Carolina

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