Jessica Minnier, PHD
PhD (2012) Harvard University, Biostatistics
AM (2009) Harvard University, Biostatistics
BA (2007) Lewis & Clark College, Mathematics
Major Areas of Research
Risk prediction models; Statistical genetics; Analysis of large medical data including electronic health records; Statistical methodology for high dimensional data; Perturbation resampling methods; Machine learning and variable selection
Experience and Interests
Dr. Minnier is a biostatistician with interest in the analysis of high dimensional data including genetic/genomics data, risk prediction models to improve disease screening and prevention, and statistical methodology with applications in cardiovascular health and oncology.
McDaniel S, Minnier J, Betensky RA, Mohapatra G, Shen Y, Gusella J, Louis D, Cai T. (2010). Assessing Population Level Genetic Instability via Moving Average. Statistics in Biosciences, 2(2), 120-136.
Minnier J, Tian L, Cai T. (2011). A Perturbation Method for Inference on Reg- ularized Regression Estimates. Journal of the American Statistical Association, 106(496), 1371-1382
Perlis RH, Iosifescu DV, Castro VM, Murphy SN, Gainer VS, Minnier J, Cai T, Goryachev S, Zeng Q, Gallagher PJ, Fava M, Weilburg JB, Churchill SE, Kohane IS, Smoller JW. (2012). Using Electronic Medical Records to Enable Large-Scale Studies in Psychiatry: Treatment Resistant Depression as a Model. Psychological Medicine, 42(1), 41-50.