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Donna L Coffman

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Donna L Coffman

  • College of Public Health

    • Epidemiology and Biostatistics

      • Associate Professor

Biography

Dr. Coffman’s research focuses on improving methods for causal inference, specifically for continuous treatments and mediation. She is currently the Principal Investigator of an R01 project sponsored by the National Cancer Institute to develop time-varying mediation analysis and she is an investigator on an R01 project funded by the National Institute on Drug Abuse to develop software tools for estimating causal effects using propensity score weighting. She develops and applies methods for analyzing data from wearable and mobile devices and ecological momentary assessments to inform the development of individualized adaptive interventions and to examine dynamic causal effects. Her substantive research has primarily fallen into three areas: substance abuse prevention and treatment, smoking cessation, and obesity prevention. She received her Ph.D. in Quantitative Psychology from the University of North Carolina, Chapel Hill.

Education

  • PhD, Quantitative Psychology, The University of North Carolina, Chapel Hill
  • MA, Psychological Sciences, James Madison University
  • BS, Psychology, James Madison University

Curriculum Vitae 

Google Scholar: Donna Coffman's Google Scholar profile

Courses Taught

Number

Name

Level

EPBI 8012

Multivariable Biostatistics

Graduate

EPBI 9083

Readings and Conference in Public Health

Graduate

HRPR 5999

Research Experience in Health Professions

Graduate

Selected Publications

Recent

  • Forman, E., Chwyl, C., Berry, M., Taylor, L., Butryn, M., Coffman, D., Juarascio, A., & Manasse, S. (2021). Evaluating the efficacy of mindfulness and acceptance-based treatment components for weight loss: Protocol for a multiphase optimization strategy trial. Contemporary Clinical Trials, 110. doi: 10.1016/j.cct.2021.106573.

  • Coffman, D.L., Oliva, I.B., & Forman, E.M. (2021). Does acceptance-based treatment moderate the effect of stress on dietary lapses? Translational Behavioral Medicine, 11(12), 2110-2115. doi: 10.1093/tbm/ibab078.

  • Bartel, M., Mousa, O., Brahmbhatt, B., Coffman, D., Patel, K., Repici, A., Tokar, J., Wolfsen, H., & Wallace, M. (2021). Impact of topical budesonide on prevention of esophageal stricture after mucosal resection. Gastrointestinal Endoscopy, 93(6), 1276-1282. doi: 10.1016/j.gie.2020.11.026.

  • Ye, Z., Zhu, Y., & Coffman, D. (2021). Variable selection for causal mediation analysis using LASSO-based methods. Statistical Methods in Medical Research, 30(6), 1413-1427. doi: 10.1177/0962280221997505.

  • Pyrooz, D., Melde, C., Coffman, D., & Meldrum, R. (2021). Selection, stability, and spuriousness: Testing Gottfredson and Hirschi's propositions to reinterpret street gangs in self-control perspective*. Criminology, 59(2), 224-253. doi: 10.1111/1745-9125.12268.

  • Vegetabile, B., Griffin, B., Coffman, D., Cefalu, M., Robbins, M., & McCaffrey, D. (2021). Nonparametric estimation of population average dose-response curves using entropy balancing weights for continuous exposures. Health Services and Outcomes Research Methodology, 21(1), 69-110. doi: 10.1007/s10742-020-00236-2.

  • Liao, Y., Liu, J., Coffman, D., & Li, R. (2021). Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data. Journal of Business and Economic Statistics. doi: 10.1080/07350015.2021.1971089.

  • Xu, S., Coffman, D., Liu, B., Xu, Y., He, J., & Niaura, R. (2021). Relationships Between E-cigarette Use and Subsequent Cigarette Initiation Among Adolescents in the PATH Study: an Entropy Balancing Propensity Score Analysis. Prevention Science. doi: 10.1007/s11121-021-01326-4.

  • Hiremath, S., Karmarkar, A., Kumar, A., Coffman, D., & Marino, R. (2021). Factors associated with post-acute functional status and discharge dispositions in individuals with spinal cord injury. Journal of Spinal Cord Medicine. doi: 10.1080/10790268.2021.1888023.

  • Griffin, B., Ayer, L., Pane, J., Vegetabile, B., Burgette, L., McCaffrey, D., Coffman, D., Cefalu, M., Funk, R., & Godley, M. (2020). Expanding outcomes when considering the relative effectiveness of two evidence-based outpatient treatment programs for adolescents. Journal of Substance Abuse Treatment, 118. doi: 10.1016/j.jsat.2020.108075.

  • Griffin, B., Ayer, L., Pane, J., Vegetabile, B., Burgette, L., McCaffrey, D., Coffman, D., Cefalu, M., Funk, R., & Godley, M. (2020). Corrigendum to “Expanding outcomes when considering the relative effectiveness of two evidence-based outpatient treatment programs for adolescents” [J. Subst. Abuse Treat. 118 (2020) 108075] (Journal of Substance Abuse Treatment (2020) 118, (S0740547220303317), (10.1016/j.jsat.2020.108075)). Journal of Substance Abuse Treatment, 118. doi: 10.1016/j.jsat.2020.108126.

  • Coffman, D., Zhou, J., & Cai, X. (2020). Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure. BMC Medical Research Methodology, 20(1), 168. doi: 10.1186/s12874-020-01053-4.

  • Coffman, D.L., Cai, X., Li, R., & Leonard, N.R. (2020). Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data. JMIR Biomedical Engineering, 5(1), e17106. doi: 10.2196/17106.

  • Dziak, J., Coffman, D., Lanza, S., Li, R., & Jermiin, L. (2020). Sensitivity and specificity of information criteria. Briefings in Bioinformatics, 21(2), 553-565. doi: 10.1093/bib/bbz016.

  • Pool, A., Coffman, D., Sarwer, D., LaRose, J., & Hart, C. (2020). Associations between weight misperception, contextual factors, and weight loss behaviours in young adult men with overweight/obesity. Obesity Science and Practice, 6(1), 39-46. doi: 10.1002/osp4.382.

  • Hiremath, S., Amiri, A.M., Thapa-Chhetry, B., Snethen, G., Schmidt-Read, M., Ramos-Lamboy, M., Coffman, D., & Intille, S. (2019). Correction: Mobile health-based physical activity intervention for individuals with spinal cord injury in the community: A pilot study (PLoS ONE (2019) 14: 10 (e0223762) DOI: 10.1371/journal.pone.0223762). PLoS ONE, 14(11). doi: 10.1371/journal.pone.0225490.

  • Hiremath, S., Amiri, A., Thapa-Chhetry, B., Snethen, G., Schmidt-Read, M., Ramos-Lamboy, M., Coffman, D., & Intille, S. (2019). Mobile health-based physical activity intervention for individuals with spinal cord injury in the community: A pilot study. PLoS ONE, 14(10). doi: 10.1371/journal.pone.0223762.

  • Spaeth, A., Hawley, N., Raynor, H., Jelalian, E., Greer, A., Crouter, S., Coffman, D., Carskadon, M., Owens, J., Wing, R., & Hart, C. (2019). Sleep, energy balance, and meal timing in school-aged children. Sleep Medicine, 60, 139-144. doi: 10.1016/j.sleep.2019.02.003.

  • Cuesta, H., Coffman, D., Branas, C., & Murphy, H. (2019). Using decision trees to understand the influence of individual- and neighborhood-level factors on urban diabetes and asthma. Health and Place, 58. doi: 10.1016/j.healthplace.2019.04.009.

  • Davison, K., Blake, C., Kachurak, A., Lumeng, J., Coffman, D., Miller, A., Hughes, S., Power, T., Vaughn, A., Blaine, R., Younginer, N., & Fisher, J. (2019). Corrigendum to “Development and preliminary validation of the Parenting around SNAcking Questionnaire (P-SNAQ)” (Appetite (2018) 125 (323–332)(S0195666317314289)(10.1016/j.appet.2018.01.035)). Appetite, 132, 282. doi: 10.1016/j.appet.2018.09.021.

  • Dziak, J., Coffman, D., Reimherr, M., Petrovich, J., Li, R., Shiffman, S., & Shiyko, M. (2019). Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists. Statistics Surveys, 13, 150-180. doi: 10.1214/19-SS126.

  • Coffman, D., Zhou, J., Cai, X., & Graham, J. (2018). Addressing missing data in confounders when estimating propensity scores for continuous exposures. Health Services and Outcomes Research Methodology, 18(4), 265-286. doi: 10.1007/s10742-018-0191-6.

  • Mennis, J., Mason, M., Coffman, D., & Henry, K. (2018). Geographic imputation of missing activity space data from ecological momentary assessment (EMA) GPS positions. International Journal of Environmental Research and Public Health, 15(12). doi: 10.3390/ijerph15122740.

  • Lepore, S., Collins, B., Coffman, D., Winickoff, J., Nair, U., Moughan, B., Bryant-Stephens, T., Taylor, D., Fleece, D., & Godfrey, M. (2018). Kids Safe and Smokefree (KiSS) multilevel intervention to reduce child tobacco smoke exposure: Long-term results of a randomized controlled trial. International Journal of Environmental Research and Public Health, 15(6). doi: 10.3390/ijerph15061239.

  • Davison, K., Blake, C., Kachurak, A., Lumeng, J., Coffman, D., Miller, A., Hughes, S., Power, T., Vaughn, A., Blaine, R., Younginer, N., & Fisher, J. (2018). Development and preliminary validation of the Parenting around SNAcking Questionnaire (P-SNAQ). Appetite, 125, 323-332. doi: 10.1016/j.appet.2018.01.035.

  • Rhew, I., Oesterle, S., Coffman, D., & Hawkins, J. (2018). Effects of Exposure to the Communities That Care Prevention System on Youth Problem Behaviors in a Community-Randomized Trial: Employing an Inverse Probability Weighting Approach. Evaluation and the Health Professions, 41(2), 270-289. doi: 10.1177/0163278718759397.

  • Leonard, N., Silverman, M., Sherpa, D., Naegle, M., Kim, H., Coffman, D., & Ferdschneider, M. (2017). Mobile health technology using a wearable sensorband for female college students with problem drinking: An acceptability and feasibility study. JMIR MHealth and UHealth, 5(7). doi: 10.2196/mhealth.7399.

  • Henneberger, A., Coffman, D., & Gest, S. (2017). The Effect of Having Aggressive Friends on Aggressive Behavior in Childhood: Using Propensity Scores to Strengthen Causal Inference. Social Development, 26(2), 295-309. doi: 10.1111/sode.12186.

  • Kugler, K., Vasilenko, S., Butera, N., & Coffman, D. (2017). Long-term consequences of early sexual initiation on young adult health: A causal inference approach. Journal of Early Adolescence, 37(5), 662-676. doi: 10.1177/0272431615620666.