Donna Coffman, Ph.D.

Donna Coffman, Ph.D.Research Associate Professor, College of Health and Human Development

Principal Investigator, The Methodology Center

 

The Methodology Center

The Pennsylvania State University

400 Calder Square II

State College, PA 16801

 

814-863-9724

CV

 

 

Education

Ph.D., University of North Carolina, 2005 (Quantitative Psychology)

M.A., James Madison University, 2001 (Psychological Sciences)

B.S., James Madison University, 1999 (Psychology)

 

 

Current Projects and Collaborators

I collaborate with Debashis Ghosh on extending statistical learning/data mining methods to estimate propensity scores in the mediation context and to estimate propensity scores for continuous exposure variables. Debashis and I also collaborate on a project using the least absolute shrinkage and selection operator (LASSO) for variable selection in propensity score modeling. I collaborate with Stephanie Lanza, Bethany Bray, and Megan Schuler on a project to extend causal inference methods to latent variable exposures and outcomes. Finally, I collaborate with Angela Henneberger on using propensity score models to model peer influence and selection effects in social networks.

Research Interests

My research is primarily in the area of statistical methodology, especially in the integration of statistical methodology and prevention science. My specific methodological interests are in developing methods for strengthening causal inferences from observational data and in mediation analysis, including innovative applications of these methods. More recently, I have begun to focus on advancing and applying statistical learning methods for intensive longitudinal data to address complex research questions in the behavioral health sciences.

 

Selected Grants and Awards

Ongoing

Center for Prevention and Treatment Methodology (The Methodology Center)

National Institute on Drug Abuse: P50DA010075

1/1/08 - present; Role: Co-Investigator (PI: Linda Collins)

 

HealthWise Dissemination: Translation to Multiple Schools

National Institute on Drug Abuse: R01 DA029084

12/1/2010-present; Role: Co-Investigator (PI: Linda Caldwell)

 

Mexican Children of Immigrants Program

National Institute of Child Health and Human Development: 1P01HD62498-01A1

4/1/11-present; Role- Co-Investigator (PI: Nancy Landale)

 

Geisinger Rural Aging Study

U.S. Department of Agriculture: 1950-51530-010-OOD

7/3/2009-present; Role: Co-Investigator (Subcontract PI: Gordon Jensen)

 

Completed 

Marginal Causal Models for Observational Studies in Obesity Research

National Institute of Diabetes and Digestive and Kidney Diseases: R21DK082858

7/1/09 - 6/30/12; Role: Co-Investigator (7/30/09-6/30/11 PI: Joseph Schafer); PI  (7/1/11-6/30/2012)

 

Selected Courses Taught

 

Causal Inference in the Behavioral Sciences I/II (Graduate)

Causal Inference in the Social Sciences (Graduate)

Mediation Analysis in the Social Sciences (Graduate)

Psychological Statistics (Undergraduate)

 

 

Publications

Peer-Reviewed Articles

Crowley, D. M., Jones, D. E., Coffman, D., & Greenberg, M. (in press). Can we build an efficient response to the prescription drug abuse epidemic? Assessing the cost effectiveness of universal prevention. Preventive Medicine.

Ford, D. W., Hartman, T. J., Still, C., Wood, G. C., Mitchell, D. C., Bailey, R., Smiciklas-Wright, H., Coffman, D. L., & Jensen, G. (in press). Diet quality and body mass index are associated with healthcare resource use in rural older adults. Journal of the Academy of Nutrition and Dietetics.

Ford, D. W., Hartman, T. J., Still, C., Wood, G. C., Mitchell, D., Erickson, P., Bailey, R., Smiciklas-Wright, H., Coffman, D. L., & Jensen, G. (2014). Body mass index, poor diet quality, and health-related quality of life are associated with mortality in rural older adults. Journal of Nutrition in Gerontology and Geriatrics, 33(1), 23-34. doi: 10.1080/21551197.2014.875819

Ford, D. W., Jensen, G., Still, C., Wood, C., Mitchell, D., Erickson, P., Bailey, R., Smiciklas-Wright, H., Coffman, D. L., & Hartman, T. J. (2014). The associations between diet quality, body mass index (BMI) and health related quality of life (HRQOL) in the Geisinger Rural Aging Study (GRAS). Journal of Nutrition, Health, & Aging, 18, 167-170.

Lippold, M., Coffman, D., & Greenberg, M. (2013). Investigating the potential causal relationship between parental knowledge and youth risky behavior: A propensity score analysis. Prevention Science. Advance online publication. doi: 10.1007/s11121-013-0443-1

Smith, R. A., Wienke, S. E., & Coffman, D. L. (2013). Alpha-1 couples: Interpersonal and intrapersonal predictors of spousal communication and stress. Journal of Genetic Counseling. Advance online publication. PMCID: PMC3921266 http://dx.doi.org/10.1007/s10897-013-9639-6

Lanza, S. T., Coffman, D. L., & Xu, S. (2013). Causal inference in latent class analysis. Structural Equation Modeling, 20(3), 361-383. PMC Journal-In Process

Butera, N. M., Lanza, S. T., & Coffman, D. L. (2013). A framework for estimating causal effects in latent class analysis: Is there a causal link between early sex and subsequent profiles of delinquency? Prevention Science. doi: 10.1007/s11121-013-0417-3 PMCID: PMC3888479

Ford, D. W., Hartman, T. J., Still, C., Wood, C., Mitchell, D., Hsiao, P.-Y., Bailey, R., Smiciklas-Wright, H., Coffman, D. L., & Jensen, G. (2013). Diet-related practices and body mass index (BMI) associated with diet quality in older adults. Public Health Nutrition. Advance online publication. doi: 10.1017/S1368980013001729

Crowley, D. M., Coffman, D. L., Feinberg, & Greenberg, M. (2013). Evaluating the impact of implementation factors on family-based prevention programming: Methods for strengthening causal inference. Prevention Science. Advance online publication. doi: 1001007/s11121-012-0352-8 NIHMSID: NIHMS505286

Hsaio, P.-Y., Mitchell, D. C., Coffman, D. L., Allman, R. M., Locher, J. L., Sawyer, P., Jensen, G. L., & Hartman, T. J. (2013). Dietary patterns and diet quality among diverse older adults: The University of Alabama at Birmingham study of aging. Journal of Nutrition, Health, & Aging, 17(2), 19-25. doi: 10.1007/s12603-012-0082-4 PMCID: PMC3574872

Lindgren, J., Dorgan, J. F., Savage-Williams, J., Coffman, D. L., & Hartman, T. J. (2013). Diet across the lifespan and the association with breast density in adulthood. International Journal of Breast Cancer, 2013, 1-29. doi: 10.1155/2013/808317 PMCID: PMC3574651

Solmeyer, A. R., Feinberg, M. E., Coffman, D. L., & Jones, D. E. (2013). The effects of the Family Foundations prevention program on coparenting and child adjustment: A mediation analysis. Prevention Science. Advance online publication. doi: 10.1007/s11121-013-0366-x PMCID: PMC3683104

Coffman, D. L., Caldwell, L. L., & Smith, E. A. (2012). Introducing the at-risk average causal effect with application to HealthWise South Africa. Prevention Science. Advance online publication. doi:10.1007/s11121-011-0271-0 PMCID: PMC3405190

Coffman, D. L., & Kugler, K. C. (2012). Causal mediation of a human immunodeficiency virus preventive intervention. Nursing Research, 61(3), 224-230. PMCID: PMC3377683

Coffman, D. L., & Zhong, W. (2012). Assessing mediation using marginal structural models in the presence of confounding and moderation. Psychological Methods, 17,(4), 342-664. doi: 10.1037/a0029311 PMCID: PMC3553264

Hsaio, P.-Y., Mitchell, D. C., Coffman, D. L., Wood, G. C., Hartman, T. J., Still, C., & Jensen, G. L. (2012). Dietary patterns and relationship to obesity-related health outcomes and mortality in adults 75 years of age or greater. Journal of Nutrition, Health, & Aging. Advance online publication. doi: 10.1007/s12603-013-0014-y PMC Journal-In process

Coffman, D. L. (2011). Estimating causal effects in mediation analysis using propensity scores. Structural Equation Modeling, 18(3), 357-369. PMCID: PMC3212948

Sharp, E., Coffman, D. L., Caldwell, L., Smith, E. A., Wegner, L., Vergnani, T., & Mathews, C. (2011). Predicting substance use behavior among South African adolescents: The role of leisure experiences across time. International Journal of Behavioral Development, 35(4), 343-351. PMCID: PMC3375719

Hsiao, P.-Y., Jensen, G. L., Hartmann, T. J., Mitchell, D. C., Nickols-Richardson, S. M., & Coffman, D. L. (2011). Food intake patterns and body mass index in older adults: A review of the epidemiological evidence. Journal of Nutrition in Gerontology and Geriatrics, 30(3), 204-224.

Coffman, D. L., Smith, E. A., Flisher, A. J., & Caldwell, L. L. (2011). Effects of HealthWise South Africa on condom use self-efficacy. Prevention Science, 12(2), 162-172. PMCID: PMC3102775

Maydeu-Olivares, A., Coffman, D. L., Garcia-Forero, C., & Gallardo-Pujol, D. (2010). Hypothesis testing for coefficient alpha: An SEM approach. Behavior Research Methods, 42(2), 618-625. PMCID: PMC3027072

Caldwell, L. L., Bradley, S., & Coffman, D. (2009). A person-centered approach to individualizing a school-based universal preventive intervention. The American Journal of Drug and Alcohol Abuse, 35(4), 214-219. PMCID: PMC2829713

Coffman, D. L., & Belue, R. (2009). Disparities in sense of community: True race differences or differential item functioning? Journal of Community Psychology, 37(5), 547-558. PMCID: PMC2772185

Maydeu-Olivares, A., Kramp, U., Garcia-Forero, C., Gallardo-Pujol, D., & Coffman, D. (2009). The effect of varying the number of response alternatives in rating scales: Experimental evidence from intra-individual effects. Behavior Research Methods, 41(2), 295-308.

Coffman, D. L. (2008). Model misspecification in covariance structure models: Some implications for power and Type I error. Methodology, 4(4), 159-167.

Coffman, D. L., Maydeu-Olivares, A., & Arnau, J. (2008). Asymptotically distribution-free interval estimation for an intraclass correlation coefficient with applications to longitudinal data. Methodology, 4(1), 4-9.

Coffman, D. L., Patrick, M. E., Palen, L., Rhoades, B. L., & Ventura, A. K. (2007). Why do high school seniors drink? Implications for a targeted approach to intervention. Prevention Science, 8, 241-248.

Maydeu-Olivares, A., Coffman, D. L., & Hartmann, W. M. (2007). Asymptotically distribution-free interval estimation for coefficient alpha. Psychological Methods, 12(2), 157-176.

Maydeu-Olivares, A., & Coffman, D. L. (2006). Random intercept item factor analysis. Psychological Methods, 11(4), 344-362.

Coffman, D. L., & Millsap, R. E. (2006). Evaluating latent growth curve models using individual fit statistics. Structural Equation Modeling, 13(1), 1-27.

 

Book Chapters

Coffman, D. L. (in press).  Third variables: Scientific meanings and modeling in non-randomized studies. In S. J. Henley (Ed.), Advanced Quantitative Methods in Nursing Research. London, UK: Routledge International.

Graham, J. W., & Coffman, D. L. (2012). Structural equation modeling with missing data. In R. Hoyle (Ed.), Handbook of structural equation modeling. New York: Guilford Press.

 

Selected Presentations

Coffman, D. L. (2013, November). Assessing causal mediation of the RRR intervention on sexual risk behavior among recently released female prisoners. Paper presented at the National Institute on Drug Abuse Prevention Research Branch Seminar, Bethesda, MD.

Coffman, D. L. (2013, October). Big Data: Opportunities and Challenges. Presented at the National Cancer Institute Science of Research and Technology Branch Big  D.A.T.A. (Data And Theory Advancement) Workshop, National Institutes of Health, Bethesda, MD.

Coffman, D. L. (2013, October). Comparison of potential outcome approaches for assessing causal mediation. Presented at the Prevention Science and Methodology Group.

Coffman, D. L. (2013, October). Methodology workshop: Propensity score methods for estimating causality in the absence of random assignment: Applications for child care policy research. Presented at the Annual Meeting of the Child Care Policy Research Consortium. Bethesda, MD

Bray, B. C., Lanza, S. T., & Coffman, D. L. (2013, September). The causal effect of substance use latent class membership on a distal outcome. Paper presented at the Paper presented at the 10th International Conference on Health Policy Statistics, Chicago, IL.

Zhu, Y., Coffman, D. L., & Ghosh, D. (2013, August). A data-adaptive approach to modeling propensity scores for continuous treatments. Paper presented at the Joint Statistical Meetings, Montreal, Canada.

Lanza, S. T., Bray, B. C., Coffman, D. L. (2013, May). The causal effect of substance use latent class membership on a distal outcome. Paper presented at the Society for Prevention Research 21st annual meeting, San Francisco, CA.

Coffman, D. L., Bray, B. C., Lanza, S. T., & Dziak, J. J.  (2013, May). Estimating the causal effect of a latent class treatment on binary and count outcomes. Paper presented at the Society for Prevention Research 21st annual meeting, San Francisco, CA.

Zhu, Y., Ghosh, D., & Coffman, D. L. (2013, Mar.). Improving mediation analysis based on propensity scores. Presented at the Eastern North American Region of the International Biometric Society, Orlando, FL.

 Coffman, D. L., MacKinnon, D. P., Zhu, Y., & Ghosh, D. (2013, Jan.). Comparison of three approaches to causal mediation analysis. Presented at the Causal Mediation Analysis Symposium, Ghent, Belgium.

Coffman, D. L. (2012, October). Methodology workshop: Propensity score methods for estimating causality in the absence of random assignment: Applications for child care policy research. Presented at the Annual Meeting of the Child Care Policy Research Consortium, Bethesda, MD.

Hsiao, P.-Y., Mitchell, D. C., Wood, G. C., Coffman, D. L., Wheeler, D., Hartman, T. J., Still, C., Jensen, G. L. (2012, Oct.). Association between dietary patterns in older adults and obesity-related health outcomes. Presented at the Food & Nutrition Expo, Philadelphia, PA.

Wheeler, D., Jensen, G. L., Mitchell, D. C., Hsiao, P.-Y., Bailey, R., Smiciklas-Wright, H., Coffman, D. L., Still, C., Hartman, T. J. (2012, Oct.). Poor diet quality is associated with being underweight among older adults. Presented at the Food & Nutrition Expo, Philadelphia, PA.

Zhu, Y., Ghosh, D., & Coffman, D. (2012, August). Mediation analysis based on propensity scores. Presented at the Joint Statistical Meetings, San Diego, CA.

 

Software & Technical Reports

Ghosh, D., Zhu, Y., & Coffman, D. L. (2013). Penalized regression procedures for variable selection in the potential outcomes framework. Technical Report. University Park, PA: Penn State University, Department of Statistics. Available at: http://works.bepress.com/debashis_ghosh/59

Dziak, J. J., Coffman, D. L., Lanza, S. T., & Li, R. (2012). Sensitivity and specificity of information criteria. (Technical Report # 12-119). University Park, PA: Pennsylvania State University, The Methodology Center.

Coffman, D. L., Almirall, D., & Zhong, W. (2011). Assessing mediation using marginal structural models in the presence of confounding and moderation. (Technical Report # 11-112). University Park, PA: Pennsylvania State University, The Methodology Center.

Coffman, D. L., Moore, J., & Lanza, S. T. (2011). A practical guide for prevention scientists: Drawing causal inferences using propensity scores. (Technical Report # 11-113). University Park, PA: Pennsylvania State University, The Methodology Center.

Schoemann, A. M., Preacher, K. J., & Coffman, D. L. (2010, April). Plotting power curves for RMSEA. [Software]. Lawrence, KS: University of Kansas. Available at http://www.quantpsy.org.

Preacher, K. L., & Coffman, D. L. (2006). Computing power and minimum sample size for RMSEA. [Software]. Laurence, KS: University of Kansas. Available at http://www.quantpsy.org.

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