Patrick Ten Eyck, MS, PhD

Assistant Director for Biostatistics and Research Design

Personal Statement

I have the training, experience, and motivation to substantially contribute towards the mission outlined by BERD and the other ICTS cores in our CTSA grant application. My background in biostatistics has greatly shaped my research interests, which include applications in biomedicine and public health, development of model selection criteria, categorical data analysis, and statistical computing. I am confident that that these skills appropriately support my role as a research consultant and collaborator.

I have worked with investigators from a variety of fields on numerous projects, resulting in multiple publications and presentations. Furthermore, I recently participated in and completed a National Research Mentoring Network Mentor Training Workshop, allowing me to develop the skills necessary to lead my biostatistics core in our various collaborative efforts. The current application builds logically on my prior work and will continue to foster my professional growth.

Education

Mathematics BA - University of Cincinnati, 2010
Statistics MS - University of Cincinnati, 2011
Biostatistics PhD - University of Iowa, 2015

Positions

Student, University of Cincinnati, Cincinnati, OH (2008 - 2011)
Student Contractor, Procter & Gamble, Cincinnati, OH (2010 - 2011)
Student, University of Iowa, Iowa City, IA (2011 - 2015)
Student Intern, Pfizer Consumer Healthcare, Madison, NJ (2014 - 2015)
Assistant Director for Biostatistics and Research Design, Institute for Clinical and Translational Science, Iowa City, IA (2015 - Present)

Professional Memberships

Member, American Public Health Association (2013 - 2015)
Member, American Statistical Association (2015 - Present)

Honors

Charles Phelps Taft Senior Thesis Fellow, University of Cincinnati, Cincinnati, OH (2010 - 2011)
Presidential Graduate Research Fellow, University of Iowa, Iowa City, IA (2011 - 2015)
Milford E. Barnes Award for Biostatistics, University of Iowa, Iowa City, IA (2016)

Contribution to Science

1. My publications in the field of statistics focus on model selection criteria. Inspired by the concordance statistic from the logistic regression framework, I developed an adjusted variant that takes into account the difference in predicted probabilities, yielding a more meaningful measure of predictive discrimination. Three model selection criteria were subsequently developed based on cross-validatory analogues of the traditional and adjusted concordance statistics. Finally, I investigated an alternate approach to pseudo-likelihood model selection in the generalized linear mixed modeling framework, leading to valid model comparisons.

Ten Eyck, P., Cavanaugh, J. (2015). The adjusted concordance statistic, In Applied Stochastic Models and Data Analysis, Skiadas, Ch, et. al eds., ISAST: International Society for the Advancement of Science and Technology, ISBN: 978-618-5180-07-2, 143-156. PMCID N/A
Ten Eyck, P., Cavanaugh, J. (2017). An alternate approach to pseudo-likelihood model selection in the generalized linear mixed model framework. Sankhya B (2017). doi:10.1007/s13571-017-0130-5. PMCID N/A
Ten Eyck, P., Cavanaugh, J. (2017). Model selection criteria based on cross-validatory concordance statistics. (Under revision)

2. In addition to the contributions described above, I have worked in collaboration with a variety of researchers across the University of Iowa campus. As the project statistician, I have been tasked with ensuring reliable data collection, analysis, and interpretation of results.

Ramirez, M., Ten Eyck, P., Peek-Asa, C., Onwuachi-Willig, A., Cavanaugh, J. Evaluation of Iowa’s anti-bullying law. Injury Epidemiology. 2016;3(1):15. doi:10.1186/s40621-016-0080-9. PMCID N/A
Christiaansen, A., Syed, M., Ten Eyck, P., Hartwig, S., Durairaj, L., Kamath, S., Varga, S. Altered Treg and cytokine responses in RSV-infected infants. Pediatric Research. 2016. 80(5):702-709. PMCID N/A
Sandeen, A., Cifra, C., Kamath, S., Davis Volk, A., Ten Eyck, P., Schmidt, G. Use of a ventilator weaning protocol reduces duration of mechanical ventilation in cardiac patients in a mixed pediatric ICU. (Under review)

Ongoing Research Support

U54TR001356 Winokur (PI)

08/14/15-07/31/17

Clinical and Translational Science Award

Our combined resources, efforts, and commitment are transforming how biomedical research is conducted by accelerating the translation of medical discoveries into actual treatments, engaging communities in clinical research efforts, and training new clinical and translational investigators.

Role: Co-investigator

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