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Adjusting for regression effect in uncontrolled studies.

J D Naranjo·J W McKean
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Abstract

When clinical studies require enrolled patients to have abnormal assays, the natural tendency of repeat measurements to regress toward the mean can lead to a false assessment of effectiveness of therapy. We propose a method to more accurately estimate the true effect of therapy by adjusting for a component of improvement that can be attributed to regression effect. The model we use allows for a combination of additive and/or multiplicative effects of the therapy.

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BiometryCholesterolClinical Trials as TopicConfidence IntervalsHumansHypercholesterolemiaModels, StatisticalMonte Carlo MethodRandomized Controlled Trials as TopicRegression AnalysisTreatment OutcomeJournal Article

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J D Naranjo, J W McKean. 2001. Adjusting for regression effect in uncontrolled studies.. https://doi.org/10.1111/j.0006-341x.2001.00178.x

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