Animal & Veterinary

Epiphanie Nyirabahizi, PhD

Division of Animal and Food Microbiology

Epiphanie Nyirabahizi, PhD
Biostatistician
P: +1 (240) 402-2875
epiphanie.nyirabahizi@fda.hhs.gov


Biography

Dr. Epiphanie Nyirabahizi is a biostatistician with the Division of Animal and Food Microbiology in the FDA Center for Veterinary Medicine’s Office of Research. She received her PhD in biostatistics from Virginia Commonwealth University in 2010. She joined FDA as a staff fellow in January 2016. Her primary responsibilities at CVM include study design, data management, and data analysis for the National Antimicrobial Resistance Monitoring System (NARMS). She also collaborates with Office of Research investigators on other non-NARMS projects.

Research

  • Trend analysis of antimicrobial resistance in human, animal, and retail meat isolates of foodborne bacteria.
  • Use of Bayesian networks to evaluate changing antimicrobial resistance patterns and identify statistical resistance trends in NARMS target bacteria.

Selected Publications

Boone, E. L., J. P. Brooks, E. Nyirabahizi, X. Chen. A Bayesian Model-Based Approach for Determining Multivariate Tolerable Regions. Journal of Environmental Statistics 7, No. 6 (2015).

Woelk, G. B., D. Ndatimana, S. Behan, M. Mukaminega, E. Nyirabahizi, H. J. Hoffman, P. Mugwaneza, M. Ribakare, A. Amzel, and B. R. Phelps. "Retention of mothers and infants in the prevention of mother-to-child transmission of HIV programme is associated with individual and facility-level factors in Rwanda." Journal of the International AIDS Society 19, No. 5 (2016): S4.

McGuire, J. F., E. Nyirabahizi, K. Kircanski, J. Piacentini, A. L. Peterson, D. W. Woods, S. Wilhelm, J. T. Walkup, and L. Scahill. "A cluster analysis of tic symptoms in children and adults with Tourette syndrome: clinical correlates and treatment outcome." Psychiatry Research 210, No. 3 (2013): 1198–1204.

Jiang, Y., J. S. Brennan, R. Calixte, Y. He, E. Nyirabahizi, and H. Zhang. "Novel tree-based method to generate markers from rare variant data." BMC Proceedings 5, No. 9 (2011): S102.

He, Y., R. Calixte, E. Nyirabahizi, J. S. Brennan, Y. Jiang, and H. Zhang. "A new LASSO and K-means based framework for rare variant analysis in genetic association studies." BMC Proceedings 5, No. 9 (2011): S116.
 

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