Graduate student in Statistics, Ph.D. level
Areas of Expertise
- Small-area estimation
- Survey data
- Statistical methodology
- B.A., Mathematics, University of Notre Dame, 2007
- M.S., Statistics, The Ohio State University, 2012
Elizabeth Petraglia has spent the past five years working in the fields of survey design and analysis and statistical programming. Before beginning her Ph.D. program, she worked as a SAS programmer and research assistant for a major public policy research firm, primarily performing data cleaning and analysis on large-scale survey data. She is currently a research assistant for Ohio State's Statistical Consulting Service (SCS).
In her own research, she helped develop a Bayesian hierarchical time-series model to predict missing values in the Uniform Crime Reports (UCR) property crime series. Her current dissertation research is on augmenting UCR county-level crime counts with NCVS large-area crime estimates in order to improve the accuracy of county-level crime rates.