Assistant Professor of Statistical & Data Sciences
Contact & Office Hours
Ph.D., Brown University School of Public Health
Sc.M., Harvard University Chan School of Public Health
M.P.H., University of Minnesota School of Public Health
A.B., Smith College
Miles Ott is a biostatistician with research interests in public health and the statistical analysis of social network data. He is particularly interested in network sampling methodology, the statistical implications of missingness in network data, and public health interventions that leverage the structure of social networks. His research application areas include substance use in emerging adults, HIV surveillance in hard-to-reach populations, and transgender health.
Ott earned his bachelor’s degree in mathematics with a minor in computer science from Smith College. He went on to receive a master’s of public health degree in epidemiology from the University of Minnesota, a master’s of science in biostatistics (with a concentration in women, gender and health) from Harvard University, and a doctorate in biostatistics from Brown University.
In his spare time he enjoys making pasta, drawing and taking his Boston terrier for walks.
Methods of Inference from Respondent-Driven Sampling Data. Annual Review of Statistics and Its Applications. (In Press)
Unequal edge inclusion probabilities in link-tracing network sampling with implications for Respondent-Driven Sampling. Electronic Journal of Statistics. 2016. 10, no. 1, 1109–1132.
Bayesian Peer Calibration with Application to Alcohol Use. Statistics in Medicine. 2016. 35, 3303-3318.