Abstract
The clinical trial methodology of conducting experiments in humans has been, and still is, most developed in pharmacotherapy research. Although straightforward in theory, in practice the design and implementation of a conclusive clinical trial is a multifaceted exercise. Drawing valid conclusion on the effects of the experimental intervention on the investigated outcome also requires careful consideration as to how the collected data are to be analyzed. To avoid non-compliance and self-selection bias after randomization, the intention-to-treat analysis principle is widely adopted, analyzing patients according to treatment allocation, irrespective of actual exposure. After an overview of clinical trial-based therapy research, the question of the transportability of the methodology to consumer product research is addressed. Other than prescription drugs, consumer products and services are not externally allocated but selected by consumers directly, often from a variety of freely accessible alternative options. It becomes evident that this fundamental difference has profound implications on consumer product research methods, rendering intention-to-treat a meaningless concept and pointing towards the central role of considering consumer preferences, choices and actual use-based effect assessment.
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Weitkunat, R. (2017). Clinical Research-Based Product Assessment. In: Emilien, G., Weitkunat, R., Lüdicke, F. (eds) Consumer Perception of Product Risks and Benefits. Springer, Cham. https://doi.org/10.1007/978-3-319-50530-5_4
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DOI: https://doi.org/10.1007/978-3-319-50530-5_4
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