I’m involved in multi-institutional and multi-disciplinary clinical research studies and provide biostatistical leadership in the design, analysis, interpretation and reporting of research results. My areas of research include statistics, data management and data coordination for clinical research networks. I am a statistician with expertise in clinical trial design and work with industry and regulatory agencies to create a clinical research development program for drugs, biologics and devices.
Before joining Cincinnati Children's, I worked in the pharmaceutical industry and was involved in the drug development process. I understand the importance of planning a drug development program and having the infrastructure with experts in their field to support the program and maximize success. I think industry and academia must work in close partnership to develop new treatments for pediatric and rare diseases. With my background in both industry and academia, I am committed to developing and fostering these collaborations.
Our Data Management and Coordinating Centers (DMCC) strengthen the ability of research networks to understand the complex pathways characterizing the etiology, diagnosis and management of diseases and the network's ability to assess clinical trial readiness. Our DMCCs provide the infrastructure to address a network's data management and analysis needs, with strong leadership, governance, decision-making, resource management and communication. The DMCC enables research centers to collaborate effectively, apply reproducible research principles and state-of-the-art methods, promote and measure progress toward trial readiness and enhance the impact of findings using advanced dissemination and implementation strategies.
Our lab is the data coordinating center for the Rare Disease Clinical Research Network and the coordinating center for the Bench to Bassinet program. These National Institutes of Health (NIH) awards are two of the top three awards ever awarded to Cincinnati Children's researchers.
I am a fellow of the American Statistical Association (ASA) and served on the board of directors for the ASA, the top international association for statisticians. I served as an associate editor for the Journal of Statistical Education and as a statistical reviewer for other scientific journals. I have been a statistician for more than 30 years and began working at Cincinnati Children's in 2009.
BS: Regis College, Weston, MA, 1976.
MS: University of Wyoming, Laramie, WY, 1980.
PhD: Texas A&M University, College Station, TX, 1988.
Clinical trials; data coordinating centers; data management; cardiac; pediatric obesity; gastrointestinal; health learning networks
Biostatistics and Epidemiology
Treating Children and Adolescents With Obesity: Characteristics of Success. Childhood Obesity. 2024; 20:416-424.
Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. Neuroimage. 2024; 297:120721.
Diabetes screening outcomes in youth presenting for paediatric weight management: A report of the Paediatric Obesity Weight Evaluation Registry. Pediatric Obesity. 2024; 19:e13102.
Association of genetic and sulcal traits with executive function in congenital heart disease. Annals of Clinical and Translational Neurology. 2024; 11:278-290.
Seasonal variability in body mass index change among children enrolled in the Pediatric Obesity Weight Evaluation Registry: A step in the right direction. Pediatric Obesity. 2023; 18:e13012.
Use, Durability, and Risks for Discontinuation of Initial and Subsequent Biologics in a Large Pediatric-Onset IBD Cohort. Journal of Pediatric Gastroenterology and Nutrition. 2023; 76:566-575.
Using multiple imputation of real-world data to estimate clinical remission in pediatric inflammatory bowel disease. Journal of Comparative Effectiveness Research. 2023; 12:e220136.
Evidence-Based Assessment of Congenital Heart Disease Genes to Enable Returning Results in a Genomic Study. Circulation: Genomic and Precision Medicine. 2023; 16:e003791.
Synergistic association of fluid overload and acute kidney injury on outcomes in pediatric cardiac ECMO: a retrospective analysis of the KIDMO database. Pediatric Nephrology. 2023; 38:1343-1353.
Association of Potentially Damaging De Novo Gene Variants With Neurologic Outcomes in Congenital Heart Disease. JAMA network open. 2023; 6:e2253191.
Eileen C. King, PhD3/1/2021
Eileen C. King, PhD, James F. Cnota, MD6/30/2019