One of the opportunities in teaching biostatistics to public health graduate students is the rich and diverse realm of experiences, interests and contexts in such a group. This also presents a formidable challenge to instructors of such courses. Luckily, the current accessibility of journal articles coupled with the rapid expansion of data science as a discipline has created a wealth of examples for such curriculums. The class that will be used as a backdrop to this talk is a two-quarter sequence in biostatistics (up through and including multiple Cox regression) taught to (mainly) master's degree candidates anchored in multiple departments at the Johns Hopkins Bloomberg School of Public Health. The presentation will highlight some of the sources for the aforementioned examples, discuss the quest for making the course context-suitable for a heterogenous group, and detail some of the examples used in the course materials.

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Tuesday, June 5, 2018 - 14:00 to 14:30

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