Jeanine M Buchanich

  • Associate Dean for Research, Associate Professor
  • Vice Chair for Practice, Biostatistics
  • Director, Center for Occupational Biostatistics and Epidemiology, Biostatistics
  • Director, Biostatistics Consulting Laboratory, Biostatistics

Jeanine M. Buchanich, M.Ed., M.P.H., Ph.D., joined the faculty of Pitt Public Health in 2008 and is a Research Associate Professor of Biostatistics.

Dr. Buchanich is a national expert in patterns in overdose deaths and ways in which to reduce the effect of this deadly epidemic. She has also examined other specific causes of death and patterns by geographic and demographic factors. She is currently leading an evaluation of the CDC-funded Overdose Data To Action activities for Pennsylvania and local health departments.

Her other research interests include occupational and environmental epidemiology and she serves as the Director for the Center for Occupational Biostatistics and Epidemiology (COBE).

Dr. Buchanich directs the Biostatistics consulting laboratory for the department and is a co-instructor for the MS Capstone course. Her professional interests outside of academia involve working with professional societies, such as the American Statistical Association, to improve the communication of statistical and scientific information to the general public and to stakeholders.


1993 | University of Pittsburgh, Pittsburgh, PA | Bachelor of Science
1996 | University of Pittsburgh School of Education, Pittsburgh, PA | Master of Education
1998 | University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA | Master of Public Health
2007 | University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA | Doctor of Philosophy

BIOS 2022, Capstone Prep
BIOS 2058, Scientific Communication Skills

BIOS 2087, Biostatistics Consulting Practicum

BIOST 2099, Biostatistics Capstone
PUBHLT 2034: Public Health Communications
Selected Publications

*Creppage K, Yohannan J, Williams K,Buchanich JM, Songer T, Wisniewski S, Fabio A. The rapid escalation of fentanyl in illicit drug evidence in Allegheny County, Pennsylvania, 2010-2016. Public Health Reports. 2018; 133(2); 142-146.

Buchanich JM, *Wooley SM, Lann MF, Marsh GM, Burke DS. Improvement in US Racial Disparities in Years of Life Lost Since 1990. PLOS ONE. 2018;

Buchanich JM, *Balmert LC, Burke DS. The effect of incomplete death certificates on estimates of unintentional opioid-related overdose deaths in the united states, 1999-2015. Public Health Reports. 2018; DOI: 10.1177/0033354918774330.

Burke DS,Buchanich JM. Drug Overdose in Pennsylvania: Measuring, Tracking and Forecasting the Epidemic. Commonwealth: A Journal of Pennsylvania Politics and Policy. 2018; 20 (2-3). DOI:

Woolf SH, Chapman DA, Buchanich JM, *Bobby KJ, Zimmerman EB, Blackburn SM. Changes in midlife death rates across racial and ethnic groups in the United States: Systematic analysis of vital statistics. British Medical Journal. 2018; DOI: 10.1136/bmj.k3096.

Jalal H, Buchanich JM, Roberts MS, *Balmert LC, Zhang K, Burke DS. Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016. Science. 2018; DOI: 10.1126/science.aau1184 .

Marsh GM, Buchanich JM, Zimmerman SD, Graves JL, Liu Y. Mortality among United States Aerospace Materials Manufacturing Workers. American Journal of Industrial Medicine. 2019; DOI: 10.1002/ajim.22943.

Slavova S, Delcher C, Buchanich JM, Bunn TL, Goldberger BA, Costich JF. Methodological complexities in quantifying rates of fatal opioid-related overdose. Current Epidemiology Reports. 2019.

Stacy SL, Buchanich JM, Ma Z, Mair C, Robertson L, Sharma RK, Talbott EO, Yuan J-M. Maternal obesity, birth size, and risk of childhood cancer development. American Journal of Epidemiology. 2019.

Jalal H, Buchanich JM, Sinclair DR, Roberts MS, Burke DS. Age and Generational Patterns of Overdose Death Risk. Nature Medicine. 2020; 26: 699-704.

Lo-Ciganic WH, Donohue JM, Hulsey EG, Barnes S, Li Y, Kuza CC, Yang Q, Buchanich JM, Huang JL, Mair C, Gellad WF. Integrating social determinants of health with claims data to predict risk of opioid overdose among Medicaid beneficiaries: a machine learning approach. Plos ONE. 2021;