Dr. Albert is a biostatistician whose areas of expertise include longitudinal data analysis, the analysis of clustered/multilevel data, the analysis of randomized and cohort studies, mediation analysis, and causal inference. He has made key contributions to the methodology for causal mediation analysis (CMA), a method of determining the total effect of a treatment into direct and indirect effects. He has been involved in a wide variety of clinical and pre-clinical studies, and his collaborative research experience spans numerous health areas, including oral health, behavior/communication, cancer, HIV/AIDS, and neurology.
Dr. Albert is currently the principal investigator of a grant from the National Institute of Dental & Craniofacial Research (NIDCR) /National Institutes of Health (NIH) that will develop new statistical methods to better account for the dynamic interplay among factors in health processes, and allow improved prediction of the effects of new interventions. The new methods will be applied to a study of biological and psychosocial factors in early childhood dental caries, and behavioral interventions to improve the use of dental care.
Contributions to science:
- Causal mediation analysis
- Statistical methods for longitudinal and clustered data; introduced the reduced-rank growth curve model
- Dental research; applied advanced statistical methods to dental data
- Statistical methods and applications for HIV/AIDS research
Teaching Information
Courses Taught
Research Information
Research Interests
- Longitudinal data analysis
- Design and analysis of randomized trials
- Mediation analysis
- Casual inference
Professional Memberships
Publications
Education
Additional Information
Among the Master's students and PhD graduates who Dr. Albert has mentored, many have gone onto careers with organizations including:
- Federal Drug Administration
- Kent State University, Associate Professor
- Cleveland Clinic Foundation
Throughout his academic career, Dr. Albert has instructed and mentored more than 250 Master's students and more than 10 PhD candidates who successfully defended their dissertations and were granted their degrees.