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In modeling the prescribing decisions of physicians, pharmaceutical marketing researchers face challenges which combine to limit sample sizes while requiring complex models. This paper reviews some of the challenges facing pharmaceutical choice modelers and then surveys the variety of choice models available to them. It concludes with recommendations for improving models of physicians’ prescribing decisions, for making models that cause less pain to respondents and analysts.

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