Eric J. joined the Stanford Prevention Research Center in 2015 after completing his Doctor of Public Health program in biostatistics at UNC Chapel Hill. His dissertation, "Longitudinal Regression Conditioning on Continuation," was completed under co-advisors Michael Hudgens and Amy Herring, and committee members John Preisser, Jr., Steve Cole, and Linda Adair. His work addressed longitudinal outcomes that may have been missing or truncated.* Eric J. has worked in the pharmaceutical industry, clinical-trials and survey-sampling consulting, and international nutrition and maternal/child health research. He is interested in causal inference, longitudinal missing data methods, mobile health, self-experimentation, n-of-1 trials / single-case experiments, minority health (focusing on Asian Americans, in particular Filipinos), and gut-microbiome research
*A study participant's missing outcome is assumed to exist, albeit unobserved. In contrast, an event such as death may be considered to render a study participant's future outcomes nonexistent. We called such an event a truncating event.
DrPH, The University of North Carolina at Chapel Hill, Biostatistics (2015)
MPS, Cornell University, Applied Statistics (2002)
BA, Cornell University, Neurobiology & Behavior and Cognitive Studies (2000)