Nicholas Seewald

Professor Seewald is a collaborative biostatistician and methodologist who develops and applies statistical methodology to answer key questions in public health and medicine through thoughtful study design. His work is motivated by problems across a wide array of applications, including physical activity, oncology, and substance use and related policy, and spans the entire investigative process from formulating a research question through study design and data analysis. Seewald is an expert in causal inference, including both experimental and non-experimental approaches, especially sequential multiple-assignment randomized trials (SMARTs) and difference-in-differences. His work is motivated by deep collaboration with applied scientists and aims to build statistical methods that empower scientists to make impactful contributions in their fields.

Seewald’s work has appeared in a variety of journals including Statistical Methods for Medical Research, Prevention Science, and the Annals of Internal Medicine. He has developed two widely-used online sample size calculators for sequentially-randomized trials, facilitated workshops on the design and analysis of SMARTs at conferences and on several university campuses, and has created public training materials for SMARTs as a member of the Johns Hopkins ALACRITY Center for Health & Longevity in Mental Illness. Seewald is a passionate statistics educator, emphasizing development of statistical intuition so trainees are well-equipped for the rapidly-changing world of data science, and his teaching won several awards while he was a graduate student at the University of Michigan.

Seewald holds an M.S. in Biostatistics, an M.A. in Statistics, and a Ph.D. in Statistics from the University of Michigan.

You can visit his university webpage here.

You can visit his personal webpage here.

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