Selected Faculty Publications
Our faculty are active researchers, publishing both research papers and textbooks. Some have student co-authors! Here is a selection of recent publications by our some of our continuing faculty. For more information on each faculty member, check out their webpage. For more information on research with students, check out the Student Research page.
Research Areas: Biostatistics, Psychiatric Epidemiology, Public Health
- Strout K. Crittenden J. O’Brien LM. Howard EP. Assessing Older Adult Wellness: An Assessment of the Psychometric Properties of the Lifestyle Survey. Journal of Nursing Measurement. 28(3): 598-614, 2020.
- O’Connor AB. O’Brien LM. Watson, L. Implications of perinatal buprenorphine exposure on infant head circumference at birth. Journal of Maternal-Fetal & Neonatal Medicine. 34(2): 318-322, 2021.
- Isidro U. O’Brien LM. Sebro RA. Linear Mixed Effects Models for estimation of pulmonary metastasis growth rate: implications for CT surveillance in patients with sarcoma. British Journal of Radiology (in press).
Research Areas: Statistics, Epidemiology
- NS Shah, A. Flood-Bryzman, C. Jeffries, and J. Scott. “Towards a Generation Free of Tuberculosis: TB disease and Infection in Individuals of College Age in the United States”. Journal of American College Health (2018).
- Scott JC, Shah N, Porco T, Flood J. “Cost Resulting from Anti-Tuberculosis Drug Shortages in the United States: A Hypothetical Cohort Study”. PLoS ONE (2015).
- Bellan SE, Pulliam JRC, Scott JC, Dushoff J. “How to Make Epidemiological Training Infectious”. PLoS Biology (2012).
Research Areas: Statistical model selection, Data visualization, Poverty and human rights data, Statistics education
- Wieczorek, J. and Lei, J. (2021+). “Model-Selection Properties of Forward Selection and Sequential Cross-Validation for High-Dimensional Regression”, Canadian Journal of Statistics, to appear.
- Wright, T., Klein, M., and Wieczorek, J. (2019). “A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals”, The American Statistician, vol. 73, no. 2, 165-178.
- Kshirsagar, V., Wieczorek, J., Ramanathan, S., and Wells, R. (2017). “Household poverty classification in data-scarce environments: a machine learning approach”, NIPS 2017 Workshop on Machine Learning for the Developing World.