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LIKELIHOOD REWEIGHTING METHODS TO REDUCE POTENTIAL BIAS IN NONINFERIORITY TRIALS WHICH RELY ON HISTORICAL DATA TO MAKE INFERENCE a:

By Lei Nie, Zhiwei Zhang, Daniel Rubin and Jianxiong Chu

Abstract

Abstract: It is generally believed that bias is minimized in well-controlled randomized clinical trials. However, bias can arise in active controlled noninferiority trials because the inference relies on a previously estimated effect size obtained from a historical trial that may have been conducted for a different population. By implementing a likelihood reweighting method through propensity scoring, a study designed to estimate a treatment effect in one trial population can be used to estimate the treatment effect size in a different target population. We illustrate this method in active controlled noninferiority trials, although it can also be used in other types of studies, such as historically controlled trials, meta-analyses, and comparative effectiveness analyses

Topics: Bias, Generalized Linear Model, Inverse Probability Weighting, Noninferiority, Propensity Score. a
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.353.4971
Provided by: CiteSeerX
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