Center for Statistics and Advanced Analysis
The Center for Statistics and Advance Analytics provides support to Boston College researchers related to the collection and the analysis of data. This includes Data Science, Geographic Information Systems, Machine Learning, Qualitative and Mixed Methods, Statistics, and Visualization. Hardware is available to run large analyses, as are file systems to store data. Staff members are available for consulting, and for grant support. If you can, please contact us early in your research projects.
The Center is guided by faculty members. We will be adding more faculty members to the steering committee soon. The steering committee will consist of faculty members from a wide range of disciplines. Steering committee members may be available for collaboration on research and grants. Please contact them if you have ideas. The current committee consists of:
- Nadia N. Abuelezam, Sc.D., is an assistant professor at the Connell School of Nursing and an epidemiologist. Her research interests are in the intersection of epidemiology, mathematical modeling, and health disparities. Her current research focuses on the use of mathematical models and epidemiological methods to better understand how to improve healthcare outcomes for under served (and under researched) populations. The goals of her program of research are to use quantitative methods and novel data streams to better understand inequalities in health care distribution and access in global and domestic settings.
- Christopher Lee. Cardiovascular nurse scientist Christopher Lee, Ph.D., RN, FAHA, FAAN, FHFSA, is a Professor and the Associate Dean for Research at the Connell School of Nursing. Dr. Lee has dedicated his career to better understanding heart disease, improving long term outcomes for patients and their families. His research has been support by grants from the National Institutes of Health, the Office of Research on Women’s Health and the American Heart Association (AHA). Dr. Lee’s work has earned him multiple awards from the AHA, Heart Failure Society of America (HFSA), and the Friends of the National Institute of Nursing Research.
- Larry Ludlow, Ph.D., is Professor and Chair of the Department of Measurement, Evaluation, Statistics, and Assessment in the Lynch School of Education. He teaches courses in research methods, applied statistics, and psychometric theory and practice. His research interests include longitudinal models for understanding faculty course evaluations, Rasch model (IRT) instrument development applications, and complexity theory applied to representing social network changes. His research collaborations include the U.S. Department of Education, Office of Indian Education; Center for Psychiatric Rehabilitation, Boston University; St. Patrick’s College, Dublin, Republic of Ireland; University of Auckland, Auckland, New Zealand; and National Research University Higher School of Economics, Moscow, Russia.
- Laura O’Dwyer, Ph.D.,is a Professor in the Measurement, Evaluation, Statistics, and Assessment department in the Lynch School of Education. Her research focuses on examining the individual and organizational correlates of students' academic performance. O'Dwyer's research has been funded by the Department of Education, the National Science Foundation, the Institute of Education Science. In the Lynch School, she teaches courses in statistics, research design, and applied data analyses.
- Shanta Pandey, Ph.D., is Professor at the School of Social Work, Boston College. Her research examines the impact policies and programs have on the most vulnerable populations in the U.S. and developing regions of South Asia. In the U.S., she has studied the impact of the overhaul of 60 year-old entitlement programs on survival strategies of
poor single mothers living in communities with very few opportunities—American Indian reservations and rural Missouri. Outside of the U.S., Pandey has focused on policies and programs aimed at improving the status of women in Southern Asia (Nepal, India, and Bangladesh). Her research has been funded by grants from the Department of Health and Human Services, US department of Agriculture, and the MacArthur Foundation. Prior to joining Boston College, she was a professor at Washington University in St. Louis for 25 years, where she served on the University’s Faculty Senate Council, co-chaired the Gender Pay Equity Study Steering Committees for the Danforth Campus, taught measurement and multivariable statistics to doctoral students, and chaired the Research Specialization in the MSW program. At the Boston College School of Social Work, she teaches Social Welfare System to the MSW students and Dissertation Preparation
Seminar to doctoral students. In addition to serving on 26 doctoral dissertation committees, she has chaired five and co-chaired two doctoral dissertations.
- Erika L. Sabbath, Sc.D.m is an assistant professor at Boston College School of Social Work. Trained as a social epidemiologist, her work focuses on the role of workplace exposures--particularly workplace stress--in shaping health and health disparities in the population. She is the principal investigator of the Boston Hospital Workers Health Study, a longitudinal open cohort study of 15,000 hospital patient care workers at two large Boston hospitals, funded by the National Institute for Occupational Safety and Health (NIOSH). She is also part of the University's interdisciplinary undergraduate program in global public health.
Staff members are part of Research Services. Directly associated with the Center are:
Rani Dalgin (Quantitative and Mixed Methods, Surveys)
Simo Goshev (Statistics)
Matt Gregas (Statistics)
Yixin Pan (Data Science, Machine Learning)
The Center staff has the background, experience, and expertise to help with:
- Designing experiments, observational studies, or surveys, including testing, data security and compliance
- Help preparing grant proposals, publications, or dissertation research, including review and/or preparation of the data analysis and technical sections.
- Selecting methodologies and planning of data collection
- Assistance with planning and performing data analysis
- Assistance with analysis, modeling, and computing
- Consulting on interpreting results from analysis
- Conducting, tutorials, seminars and workshops on statistical topics, qualitative and mixed methods, geographic information systems
- Customized training for projects and departments
- Assistance with choosing, learning, and the technical issues of statistical software such as Stata, SAS, SPSS, and R
- Assistance with choosing, learning, and the technical issues of qualitative and mixed methods software such as Atlas.ti, HyperResearch, and Nvivo
- Assistance with Qualtrics, REDCap and other Online survey tools
- Assistance with ArcGIS and GIS analysis
The Center is available to all researchers at Boston College. The best way to reach us is via email at: firstname.lastname@example.org.