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arXiv · 1311.7485

Likelihood reweighting methods to reduce potential bias in noninferiority trials which rely on historical data to make inference

Lei Nie·Zhiwei Zhang·Daniel Rubin·Jianxiong Chu
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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.

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Lei Nie, Zhiwei Zhang, Daniel Rubin, Jianxiong Chu. 2013-11-29. Likelihood reweighting methods to reduce potential bias in noninferiority trials which rely on historical data to make inference. https://doi.org/10.1214/13-aoas655

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