How can we accurately portray the associations between exposure and disease—their magnitude, reliability, validity and precision—in the era of “big data” and “precision medicine”? We deal with complex data from many domains: It may be behavioral or clinical, drawn from the laboratory or from neuro-images. How can we now estimate causal effects, properly adjusting for confounding and bias? Such questions inspire our faculty members as they educate the next generation of leaders in biostatistical theory, methods and practice.

And they do so in a highly distinctive context.  Because the DBEI brings together three major disciplines of population science—biostatistics, epidemiology and informatics— it positions students to participate in team science  as collaborators, and as developers of  novel methods for solving complex problems.

The biostatistics programs are housed in the Perelman School of Medicine, so masters and PhD students are also part of a wider, diverse community of investigators. They come to understand the biostatistician’s crucial role in research, from design through analysis and publication of study results.  These programs are administered by a graduate group, which affords students exceptional cross-disciplinary opportunities. Read more on the site of the Graduate Group in Epidemiology and Biostatistics.