Assistant Professor
Department of Epidemiology
127 Parran Hall
130 DeSoto Street
University of Pittsburgh
Pittsburgh, PA 15261
Phone: 412.648.7098
Fax: 412.624.3775
E-mail: bertoletm@edc.pitt.edu





Research Interests

Dr. Bertolet’s research interests focus on the many uses of statistics in public health. Her devotion to statistics stems from the diversity of applications to which statistics can be applied. She came to public health after a career in telecommunications, where she was a reliability and quality engineer doing analysis analogous to “consumer reports” for telecommunication equipment.

Her applied research currently focuses on cardiovascular and diabetes research. She applies longitudinal, repeated measure and survival analysis methods to large clinical trials.

Her theoretical research currently focuses on incorporating Bayesian and survey sampling analyses. She is extending this work to the public health setting by investigating similar methods to increase the generalizability of clinical trials.

Research Support

• The Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI 2D), NIH/NHLBI

Education & Training

• Carnegie Mellon University – Ph.D. Statistics, 2008
• Carnegie Mellon University – M.S. Statistics, 2002
• Cornell University – M.Eng. Operations Research and Industrial Engineering, 1995
• Shippensburg University – B.A. Mathematics, 1993

Honors and Awards

• Student of the Year Award, American Statistical Association, Pittsburgh Chapter 2008
• Health Policy Student Paper Award, Joint Statistical Meetings, American Statistical Association, 2004

Teaching

• University of Pittsburgh, EPIDEM 2181 – Design of Clinical Trials
• Carnegie Mellon University, STAT 217 – Probability Theory and Random Processes for Engineers

Selected Publications

1. M. Bertolet. Sampling Weights in a Bayesian Grade of Membership Model. Carnegie Mellon University, Department of Statistics, Technical Report #873. February 2009
2. M. Bertolet. Sampling Weights, Model Misspecification and Informative Sampling: A Simulation Study. Carnegie Mellon University, Department of Statistics, Technical Report #872. January 2009.
3. M. Bertolet, H. Seltman, J.Greenhouse, K.Kellleher. National Survey of Adolescent and Child Well-Being(NSCAW): A Comparison of Model and Design Based Analyses of Cognitive Stimulation Scores. Technical Report #772. Carnegie Mellon University, Department of Statistics. March 2003