Mary S. Dietrich, M.S., Ph.D.

Research Associate Professor of Nursing, Psychiatry & Behavioral Sciences, and Biostatistics


Mary S. Dietrich, M.S., Ph.D.

Contact Info

(615) 343-1620


410 Godchaux Hall

Overview of Interests

Multivariate, longitudinal statistical methods. Mary S. Dietrich, Ph.D., research associate professor, has more than 20 years of statistical consulting and collaboration experience in broad-based biological, psychological, and social sciences research. Current academic appointments in the Schools of Nursing (primary) and Medicine (secondary: Biostatistics, Vanderbilt Ingram Cancer Center, and Psychiatry), as well as previous appointments in University-wide statistical and high-performance computing consulting roles, have enabled Dr. Dietrich to collaborate with a diverse cross-section of faculty and clinical personnel from the Medical Center as well as the University. She has been and is currently a co-investigator or consultant on several major NIH-funded, as well as non-profit funded, research studies. Additionally, Dr. Dietrich provides mentoring in statistical methods for the post-doctoral and pre-doctoral students in Nursing Science at the Vanderbilt University School of Nursing, as well as teaching and coordinating the statistical methods course sequence for the Ph.D. nursing students.

Dr. Dietrich’s primary methodological interests are in the modeling of developing and evolving systems. It is becoming increasingly recognized that biological systems do not work in isolation from emotional/psychological systems (nor vice versa) and thus interventions designed to impact any specific area within one of those systems will likely have an impact in one or more areas of other associated systems. In her role as Senior Biostatistical Consultant and co-Education Director, Dr. Dietrich works collaboratively with investigators and other members of the statistical and methodological core to address the statistical needs of the investigators, to contribute as needed to manuscripts from the research conducted through the Center, to disseminate information, and to develop manuscripts describing innovative applications of statistical methods to address the multi-dimensional, translational research being conducted within the Center.


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