Author: Lui Kung-Jong Chang Kuang-Chao
Publisher: Taylor & Francis Ltd
ISSN: 1054-3406
Source: Journal of Biopharmaceutical Statistics, Vol.23, Iss.4, 2013-07, pp. : 756-773
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Abstract
We often employ stratified analysis to control the confounding effect due to centers in a multicenter trial or the confounding effect due to trials in a meta-analysis. On the basis of a general risk additive model, we focus discussion on interval estimation of the risk difference (RD) in repeated binary measurements under a stratified randomized clinical trial (RCT) in the presence of noncompliance. We develop five asymptotic interval estimators for the RD in closed form. These include the interval estimator using the weighted least-squares (WLS) estimator, the WLS interval estimator with
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