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Abstract:
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As a statistical consultant or collaborator in a multidisciplinary team, we may encounter scientific colleagues informing us of traditional, preferred ways that “the field” analyzes data. However, some of these conventional analyses may not be statistically valid. Applied statisticians may find it challenging to balance the demands of our clients and collaborators with our demand for statistical rigor. Yet, with careful communication and leadership skills, we may frequently be able to design valid, interpretable analyses that satisfy the entire scientific team. This talk presents case studies of such interactions. Examples are provided from the point of view of an applied – and formerly isolated – statistician. The statistical problems are briefly discussed along with their solutions and reactions from collaborators.
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