Jeffrey Shaffer, PhD
Clinical Assistant Professor
Department of Global Biostatistics and Data Science
Tulane University School of Public Health and Tropical Medicine
1440 Canal St, Suite 2001
New Orleans, LA 70112
Phone: (504) 988-1142
Fax: (504) 988-1706
Data management, database management, geographic information systems (GIS), statistical analysis, statistical programming, sample size and statistical power assessment, spatial analysis, experimental design, hierarchical modeling, time trend analysis, survey design and analysis, mobile-based surveys, online surveys, prostate cancer, maternal and child health, Lassa fever, Ebola virus disease (EVD).
- American Red Cross
- American Society for Microbiology
- American Society of Tropical Medicine and Hygiene
- American Statistical Association
- Delta Omega Public Health Honorary Society for Public Health (Eta Chapter)
- Mathematical Association of America
- Tulane Alumni Association
- 2007 Ph.D. in Biostatistics, Tulane University, New Orleans, LA
- 2001 M.S. in Mathematics, University of New Orleans, New Orleans, LA
- 1999 B.S. in Mathematics, University of New Orleans, New Orleans, LA
View Dr. Shaffer's publications at his NCBI profile page.
I have over 13 years of experience working on federally funded research projects as a lead biostatistician or data manager. My current research involves managing and analyzing clinical and laboratory data on Lassa fever (an acute febrile disease found in West Africa) and Ebola virus disease (EVD). I have extensive international data management and analysis experience, where I regularly travel to West Africa to provide training and implement data collection, data management, and analytical techniques. My research experience is focused on the management and statistical analysis of clinical and laboratory data, specifically for febrile illnesses in West Africa, environmental exposures, prostate cancer, and infant mortality. My areas of expertise include statistical analysis, data management, database management, geographic information systems (GIS), statistical programming, experimental design, population sampling, sample size and statistical power assessment, spatial data analysis, hierarchical modeling, time trend analysis, survey design and analysis, and mobile and online surveys. I regularly teach graduate courses in GIS, introductory biostatistics, and SAS statistical programming and undergraduate courses in public health.
Level of Instruction:
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