An Empirical Model of Learning under Ambiguity: The Case of Clinical Trials

Jose Fernandez ()

MPRA Paper from University Library of Munich, Germany

Abstract: In this paper, I present an empirical model of learning under ambiguity in the context of clinical trials. Patients are concern with learning the treatment effect of the experimental drug, but face the ambiguity of random group assignment. A two dimensional Bayesian model of learning is proposed to capture patients�beliefs on the treatment effect and group assignment. These beliefs are then used to predict patient attrition in clinical trials. Patient learning is demonstrated to be slower when taking into account group ambiguity. In addition, the model corrects for attrition bias in the estimated treatment effect.

Keywords: clinical trials; learning; Bayesian; structural model; treatment effect (search for similar items in EconPapers)
JEL-codes: C31 D8 I1 (search for similar items in EconPapers)
Date: 2008-04-03
New Economics Papers: this item is included in nep-hea
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:8621

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