A photo of Rhonda Szczesniak.

Professor, UC Department of PediatricsUC Department of Environmental Health; UC Department of Mathematical Sciences


My Biography & Research


My research interests include predictive modeling, medical monitoring, lung diseases and disorders, biomarker discovery and longitudinal data analysis. In my research lab, the goals of my team include designing and analyzing medical monitoring investigations as well as incorporating biomarkers for customized, enhanced prediction/early detection of swift disease progression.

Some of the most notable discoveries made at my lab include identifying pediatric phenotypes of rapid lung disease progression using the Cystic Fibrosis Registry and the proteomics-informed prediction modeling of rapid lung disease progression.

I was led to my research interests by witnessing how certain things change over time and determining why things transform. This is why I pursued statistics in my graduate studies at the University of Kentucky.

As my career progressed, I received a recognition for biostatistical contributions to cystic fibrosis research in the Journal of Cystic Fibrosis in April 2019. I have also held reviewer positions on grant award panels and I hold a membership in the Cystic Fibrosis Foundation Patient Registry/Comparative Effectiveness Research Committee. My research has been supported by the National Institutes of Health (NIH) and the Cystic Fibrosis Foundation.

I have more than 12 years of experience in the biostatistics field, and I first started working at the Cincinnati Children’s Hospital Medical Center in 2007. Lastly, my research work has been published in a multitude of journals, including Statistics in Medicine, Journal of Religion and Health, Journal of Cystic Fibrosis, Journal of Diabetes Research, Annals of the American Thoracic Society, and American Journal of Respiratory and Critical Care Medicine.

Clinical Interests

Cystic fibrosis; blood pressure; glycemic control

Research Interests

Functional data analysis; longitudinal data analysis; medical monitoring; prediction

Academic Affiliation

Professor, UC Department of PediatricsUC Department of Environmental Health; UC Department of Mathematical Sciences

Clinical Divisions

Pulmonary Medicine

Research Divisions

Biostatistics and Epidemiology

Blog Posts

My Education

PhD: Statistics, University of Kentucky, Lexington, KY, 2007.

MS: Statistics, University of Kentucky, Lexington, KY, 2005.

BS: Mathematics, Radford University, Radford, VA, 2003.

My Publications

Flexible link functions in a joint hierarchical Gaussian process model. Su, W; Wang, X; Szczesniak, RD. Biometrics. 2021; 77:754-764.

An Animated Functional Data Analysis Interface to Cluster Rapid Lung Function Decline and Enhance Center-Level Care in Cystic Fibrosis. Pratt, J; Su, W; Hayes, D; Clancy, JP; Szczesniak, RD. Journal of Healthcare Engineering. 2021; 2021.

Lung function in children with cystic fibrosis in the USA and UK: a comparative longitudinal analysis of national registry data. Schlüter, DK; Ostrenga, JS; Carr, SB; Fink, AK; Faro, A; Szczesniak, RD; Keogh, RH; Charman, SC; Marshall, BC; Goss, CH; et al. Thorax. 2021.

Rapid cystic fibrosis lung-function decline and in-vitro CFTR modulation. Gecili, E; Su, W; Brokamp, C; Andrinopoulou, E; Iii, FJ L; Pestian, T; Clancy, JP; Solomon, GM; Brewington, JJ; Szczesniak, RD. Journal of Cystic Fibrosis. 2021.

Flexible multivariate joint model of longitudinal intensity and binary process for medical monitoring of frequently collected data. Gupta, R; Khoury, JC; Altaye, M; Jandarov, R; Szczesniak, RD. Statistics in Medicine. 2021; 40:1845-1858.

An Empirical Comparison of Segmented and Stochastic Linear Mixed Effects Models to Estimate Rapid Disease Progression in Longitudinal Biomarker Studies. Su, W; Gecili, E; Wang, X; Szczesniak, RD. Statistics in Biopharmaceutical Research. 2021; 1-10.

Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy. Gecili, E; Ziady, A; Szczesniak, RD. PLoS ONE. 2021; 16.

Serum Vascular Endothelial Growth Factor C as a Marker of Therapeutic Response to Sirolimus in Lymphangioleiomyomatosis. Gupta, N; Hagner, M; Wu, H; Young, LR; Palipana, A; Szczesniak, RD; McCormack, FX. Annals of the American Thoracic Society. 2021; 18:174-177.

Risk factor identification in cystic fibrosis by flexible hierarchical joint models. Su, W; Wang, X; Szczesniak, RD. Statistical Methods in Medical Research. 2021; 30:244-260.

Functional data analysis and prediction tools for continuous glucose-monitoring studies. Gecili, E; Huang, R; Khoury, JC; King, E; Altaye, M; Bowers, K; Szczesniak, RD. Journal of Clinical and Translational Science. 2021; 5.