Abstract:
It is not uncommon to have access to panel data generated
by a set of similarly randomized controlled trials. In this context, researchers
often employ pooling methods to evaluate the efficacy of pharmaceutical
regiments. One of the simplest techniques used to combine individual studies
results is the fixed effects model. This assumes that a true effect is
equal for all studies. An alternative and intuitively more appealing method,
is the random effects model. The purpose of this study is to address the
estimation problem of the fixed effects model. Furthermore, it presents
a simulation study of an efficient estimation of a mean true effect using
panel data and a random effects model in order to establish appropriate
confidence interval estimation for both the models.
Robin Antoine, Ashok Sahai and Peter Chami, 2007. Meta Analysis of Panel Data Generated by a Set of
Randomized Controlled Trials. Journal of Applied Sciences, 7: 951-957.
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