Rodney Sparapani, PhD

Associate Professor, Institute for Health and Equity, Biostatistics

Locations

Biostatistics

Contact Information

Education

PhD, Biostatistics, Medical College of Wisconsin, Milwaukee, WI, 2011
MS, Mathematics, Marquette University, Milwaukee, WI, 1991
BS, Mathematics, Michigan Technological University, Houghton, MI, 1989

Biography

Dr. Rodney Sparapani is an Associate Professor, Institute for Health and Equity, Biostatistics at the Medical College of Wisconsin. He joined the division in December 2013.

Curriculum Vitae

Research Interests

Dr. Sparapani's research applies Bayesian methodology to modern biostatistical problems such as survival analysis, health services research, causal inference, comparative effectiveness research and big data/omics. Recently, he has focused on Bayesian machine learning, Bayesian nonparametrics and the surrounding challenges of efficient computation with large data sets. His collaborative research has involved the analysis of cancer treatments, cardiovascular disease and a wide variety of other conditions such as diabetes, osteoporosis, hepatitis, hip fracture, sinus surgery and spine surgery.

The Variation of Withdrawal of Life Sustaining Therapy in Older Adults With Traumatic Brain Injury.

(Pokrzywa CJ, Al Tannir AH, Sparapani R, Rabas MS, Holena D, Murphy PB, Creutzfeldt CJ, Somberg L, Nattinger A, Morris RS.) J Surg Res. 2023 Nov;291:34-42 PMID: 37331190 SCOPUS ID: 2-s2.0-85162019379 06/19/2023
Anatomical determinants of upper airway collapsibility in obstructive sleep apnea: A systematic review and meta-analysis.

(Hartfield PJ, Janczy J, Sharma A, Newsome HA, Sparapani RA, Rhee JS, Woodson BT, Garcia GJM.) Sleep Med Rev. 2023 Apr;68:101741 PMID: 36634409 SCOPUS ID: 2-s2.0-85146096954 01/13/2023
Impact of Reintervention During Stage 1 Palliation Hospitalization: A National, Multicenter Study.

(Handler SS, Chan T, Ghanayem NS, Rudd N, Wright G, Visotcky A, Sparapani R, Mitchell ME, Hoffman GM, Frommelt MA.) Ann Thorac Surg. 2023 Apr;115(4):975-981 PMID: 36306859 SCOPUS ID: 2-s2.0-85142376895 10/29/2022
Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures.

(Sparapani RA, Logan BR, Maiers MJ, Laud PW, McCulloch RE.) Biometrics. 2023 Mar 18 PMID: 36932826 PMCID: PMC10505620 03/19/2023
Mandibular advancement reduces pharyngeal collapsibility by enlarging the airway rather than affecting velopharyngeal compliance.

(Garcia GJM, Wolf JJ, Campbell DA, Bailey RS, Sparapani RA, Welzig CM, Woodson BT.) Physiol Rep. 2023 Feb;11(3):e15558 PMID: 36756800 PMCID: PMC9909385 SCOPUS ID: 2-s2.0-85147723148 02/10/2023
Patient similarity and other artificial intelligence machine learning algorithms in clinical decision aid for shared decision-making in the Prevention of Cardiovascular Toxicity (PACT): a feasibility trial design.

(Brown SA, Chung BY, Doshi K, Hamid A, Pederson E, Maddula R, Hanna A, Choudhuri I, Sparapani R, Bagheri Mohamadi Pour M, Zhang J, Kothari AN, Collier P, Caraballo P, Noseworthy P, Arruda-Olson A, Cardio-Oncology Artificial Intelligence Informatics and Precision Equity (CAIPE) Research Team Investigators.) Cardiooncology. 2023 Jan 23;9(1):7 PMID: 36691060 PMCID: PMC9869606 01/24/2023
Team principles for successful interdisciplinary research teams

(Brown SA, Sparapani R, Osinski K, Zhang J, Blessing J, Cheng F, Hamid A, MohamadiPour MB, Lal JC, Kothari AN, Caraballo P, Noseworthy P, Johnson RH, Hansen K, Sun LY, Crotty B, Cheng YC, Echefu G, Doshi K, Olson J.) American Heart Journal Plus: Cardiology Research and Practice. August 2023;32 SCOPUS ID: 2-s2.0-85163019573 08/01/2023
An Exploration of Cultural-Environmental Interactions with Native American Health Literacy.

(Dellinger MJ, Pingatore N, Chelius T, Visotcky A, Poupart A, Sparapani R.) Environ Health Perspect. 2022 Nov;130(11):117703 PMID: 36416732 PMCID: PMC9683091 SCOPUS ID: 2-s2.0-85142939324 11/24/2022
Environmental health literacy for Anishinaabe (Great Lakes Native American) fish consumers: A randomized control trial.

(Dellinger MJ, Pingatore N, Chelius T, Visotcky A, Sparapani R, Ripley M.) Environ Res. 2022 Sep;212(Pt B):113335 PMID: 35447154 SCOPUS ID: 2-s2.0-85129809479 04/22/2022
Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression Trees.

(Sparapani RA, Teng BQ, Hilbrands J, Pipkorn R, Feuling MB, Goday PS.) J Pediatr Gastroenterol Nutr. 2022 Aug 01;75(2):210-214 PMID: 35641892 SCOPUS ID: 2-s2.0-85135203067 06/02/2022
Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity.

(Brown SA, Sparapani R, Osinski K, Zhang J, Blessing J, Cheng F, Hamid A, Berman G, Lee K, BagheriMohamadiPour M, Lal JC, Kothari AN, Caraballo P, Noseworthy P, Johnson RH, Hansen K, Sun LY, Crotty B, Cheng YC, Olson J, Cardio-Oncology Artificial Intelligence Informatics & Precision (CAIP) Research Team Investigators.) Am Heart J Plus. 2022 Jan;13 PMID: 35434676 PMCID: PMC9012235 04/19/2022
Lisinopril Mitigates Radiation-Induced Mitochondrial Defects in Rat Heart and Blood Cells.

(Ortiz de Choudens S, Sparapani R, Narayanan J, Lohr N, Gao F, Fish BL, Zielonka M, Gasperetti T, Veley D, Beyer A, Olson J, Jacobs ER, Medhora M.) Front Oncol. 2022;12:828177 PMID: 35311118 PMCID: PMC8924663 SCOPUS ID: 2-s2.0-85126780777 03/22/2022