Nanhua Zhang, PhD

Academic Affiliations

Associate Professor, UC Department of Pediatrics

Phone 513-803-9108


Missing data; comparative effectiveness; clinical trial design; meta-analysis; scale development; joint modeling; environmental health; community-based intervention; health disparity; behavioral intervention; health psychology

Dr. Zhang earned his PhD in biostatistics from the University of Michigan in Ann Arbor. Prior to joining Cincinnati Children’s Hospital Medical Center, he was a faculty member at the University of South Florida in Tampa. His statistical methodology research has covered missing data, causal inference, clinical trial design, joint modeling and meta-analysis. His applied research interests include pediatric traumatic brain injury (TBI), environmental health, community-based intervention, health disparity, behavioral intervention and health psychology. His research “early childhood lead exposure on academic achievement” received media coverage on TV, radio, newspapers, magazines, and various online media such as and

Dr. Zhang has authored over 50 peer-reviewed papers and made numerous presentations at national and international conferences. He has served as a reviewer for 30 different journals including: Biometrika, Statistics in Medicine, Statistics Sinica, Annals of Applied Statistics, American Journal of Public Health, Annals of Epidemiology, Health Education Research. He has taught graduate and advanced doctoral courses in linear models, survival analysis and statistical computing.

BS: Shanghai University of Finance and Economics, Shanghai, China.

MS: Bowling Green State University, Bowling Green, OH.

PhD: University of Michigan, Ann Arbor, MI.

View PubMed Publications

Zhang N, Chen H, Elliott MR. Nonrespondent Subsample Multiple Imputation in Two-phase Sampling for Nonresponse. Journal of Official Statistics. 2016;32(3):769-785.

Wade SL, Zhang N, Yeates KO, Stancin T, Taylor HG. Social Environmental Moderators of Long-term Functional Outcomes of Early Childhood Brain Injury. JAMA Pediatrics. 2016;170(4):343-9. 

Zhang N, Little RJA. Subsample ignorable likelihood for accelerated failure time models with missing predictors. Lifetime Data Anal. 2015;21(3):457-69.

Wade SL, Kurowski B, Kirkwood M, Zhang N, Cassedy A, Brown T, Nielsen B, Stancin T, Taylor HG. Online problem-solving therapy after traumatic brain injury: A randomized controlled trial. Pediatrics. 2015;135(2):e487-95.

Kang J, Zhang N, Shi R. A Bayesian nonparametric model for spatially distributed multivariate binary data with application to a multidrug-resistance tuberculosis (MDR-TB) study. Biometrics. 2014;70(4):981-92.

Zhang N, Chen H, Zou Y. A joint model of binary and longitudinal data with non-ignorable missingness, with application to marital stress and late life depression. J Applied Statistics. 2014;41(5);1028-39.

Chen H, Zhang N, Lu X, Chen S. Caution regarding the choice of standard deviations to guide sample size calculations in clinical trials. Clin Trials. 2013 Aug;10(4)522-9.

Zhang N, Baker HW, Tufts M, Raymond RE, Salihu H, Elliott MR. Early childhood lead exposure and academic achievement: evidence from Detroit Public Schools (2008-2010). Am J Public Health. 2013 Mar;103(3):e72-7.

Zhang N, Little RJA. A pseudo-Bayesian approach to regression with missing covariates. Biometrics. 2012 Sep;68(3):933-42.

Little RJA, Zhang N. Subsample ignorable likelihood for regression with missing data. J R Stat Soc Ser C Appl Stat. 2011;60, 591-605.

Pediatric TBI Treatments: Optimal Timing, Targets, and Patient Characteristics. Co-Investigator. National Institutes of Health. Jul 2016-Jun 2018.

Childhood CV Risk and Adult CVD Outcomes: an International Long-term Follow-up. Co-Investigator. National Institutes of Health. Dec 2015-Nov 2020.

Sleep restriction and the adolescent diet: impact and mechanisms. Co-Investigator. National Institutes of Health. Sept 2014-Jun 2018.

Examining the Impact of Stigma and Stress on HIV Clinical Indicators and Quality. Cincinnati Children's Hospital Medical Center Site Principal Investigator. National Institutes of Health. Jun 2016-May 2018.

Optimal Methods for Notifying Clinicians about Epilepsy Surgery Patients. Co-Investigator. National Institutes of Health. Sept 2016-Jun 2018.

Predicting pediatric surgery cancellation. Co-Investigator. National Institutes of Health. Jul 2016-Jun 2018.