Selected Articles
  • Coffman, D. L., Dziak, J. J., Litson, K., Chakraborti, Y., Piper, M. E. & Li, R. (2023) A Causal Approach to Functional Mediation Analysis with Application to a Smoking Cessation Intervention, Multivariate Behavioral Research, online. Read
  • Nahum-Shani, I., Dziak, J. J., Walton, M.A., Dempsey, W. (2022). Hybrid Experimental Designs for Intervention Development: What, Why and How. Advances in Methods and Practices in Psychological Science, 5(3). Read
  • Nahum-Shani, I., Dziak, J. J., & Wetter, D.W. (2022). MCMTC: A pragmatic framework for selecting an experimental design to inform the development of digital interventions. Frontiers in Digital Health, 4:798025. Read
  • Henry, K. L., Tran, T., Agbeke, D. V., Lee, H., Williford, A., & Dziak, J. J. (2021). Two-part models for father-child relationship variables: presence in the child's life and quality of the relationship conditional on some presence. Journal of the Society for Social Work and Research. Read
  • Dziak, J. J., Dierker, L. C., & Abar, B. (2020). The interpretation of statistical power after the data have been gathered. Current Psychology, 39(3), 870-877. Read
  • Nahum-Shani, I., Almirall, D., Yap, J., McKay, J. R., Lynch, K. G., Freiheit, E. A., & Dziak, J. J. (2020). SMART longitudinal analysis: a tutorial for using repeated outcome measures from SMART studies to compare adaptive interventions.  Psychological Methods, 25:1-29. Read
  • Dziak, J. J., Coffman, D. L., Lanza, S. T., Li, R., & Jermiin, L. (2020).  Sensitivity and specificity of information criteria. Briefings in Bioinformatics, 21: 553-565. Read
  • Dziak, J. J., Coffman, D. L., Reimherr, M.,  Petrovich, J., Li, R., Shiffman, S., & Shiyko, M. P. (2019). Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists. Statistics Surveys, 13: 150-180. Read
  • Bray, B. C., Dziak, J. J., & Lanza, S. T. (2019). Age trends in alcohol use behavior patterns among U.S. adults ages 18-65. Drug and Alcohol Dependence. Read
  • Bray, B. C., Dziak, J. J., Patrick, M. E., & Lanza, S. T. (2019). Inverse propensity score weighting with a latent class exposure: Estimating the causal effect of reported reasons for alcohol use on problem alcohol use 16 years later. Prevention Science, 20: 394-406. Read
  • Nahum-Shani, I., Almirall, D., Yap, J., McKay, J. R., Lynch, K. G., Freiheit, E. A., & Dziak, J. J. (2019). SMART longitudinal analysis: a tutorial for using repeated outcome measures from SMART studies to compare adaptive interventions. Psychological Methods. Read
  • Dziak, J. J., Yap, J. R. T., McKay, J. R., Lynch, K. G., Almirall, D., & Nahum-Shani, I. (2018). A data analysis method for using longitudinal binary outcome data from a SMART to compare adaptive interventions. Multivariate Behavioral Research. Read
  • Linden-Carmichael, A. N., Dziak, J. J., & Lanza, S. T. (2018). Dynamic features of problematic drinking: Alcohol use disorder latent classes across ages 18-64. Alcohol and Alcoholism, 54: 97-103. Read
  • Nahum-Shani, I., Dziak, J. J., & Collins, L. M. (2018). Multi-level factorial designs with experimentation-induced clustering. Psychological Methods, 23: 458-479. Read
  • Bray, B. C., and Dziak, J. J. (2018). Commentary on latent class, latent profile, and latent transition analysis for characterizing individual differences in learning. Learning and Individual Differences, 66: 105-110. Read
  • Dziak, J. J., & Henry, K. (2017). Two-part predictors in regression models. Multivariate Behavioral Research, 52: 551-561. Read
  • Linden-Carmichael, A. N., Lanza, S. T., Dziak, J. J., & Bray, B. C. (2017). Contemporary Alcohol Use Patterns among a National Sample of U.S. Adult Drinkers. Journal of Addictive Diseases, 36: 222-226. Read
  • Snippe, E., Dziak, J. J., Lanza, S. T., Nyklíček, I., & Wichers, M. (2017) The shape of change in perceived stress, negative affect, and stress-sensitivity in mindfulness-based stress reduction. Mindfulness, 8: 728-736. Read
  • Dziak, J. J., Bray, B. C., Zhang, J., Zhang, M., & Lanza, S. T. (2016). Comparing the performance of improved classify-analyze approaches in latent profile analysis. Methodology, 12: 107-116. Read
  • Dziak, J. J., Li, R., Tan, X., Shiffman, S., & Shiyko, M. P. (2015). Modeling intensive longitudinal data with mixtures of nonparametric trajectories and time-varying effects. Psychological Methods, 20: 444-469. Read
  • Lanza, S. T., Vasilenko, S. A., Dziak, J. J., & Butera, N. M. (2015). Trends among US high school seniors in recent marijuana use and associations with other substances: 1976 to 2013. Journal of Adolescent Health, 57: 198-204. Read
  • Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014).  Factorial experiments: efficient tools for evaluation of intervention components.  American Journal of Preventive Medicine, 21, 1-19. Read
  • Dziak, J. J., Lanza, S. T., & Tan, X. (2014). Effect size, statistical power, and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. Structural Equation Modeling, 21: 534-552. Read
  • Dziak, J.J., Nahum-Shani, I., & Collins, L.M. (2012). Multilevel factorial experiments for developing behavioral interventions: Power, sample size, and resource considerations. Psychological Methods, 17, 153-175. Read
  • Collins, L.M., Dziak, J.J., & Li, R. (2009). Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychological Methods, 14: 202-224. Read
Technical Reports and Book Chapters
  • Dziak, J. J. (2018). Optimizing the cost-effectiveness of a multicomponent intervention using data from a factorial experiment: Considerations, open questions, and tradeoffs among multiple outcomes. Chapter in Collins, L. M., & Kugler, K., Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics, pages 207-268. Read
  • Kugler, K. C., Dziak, J. J., & Trail, J. (2018). Coding and interpretation of effects in analysis of data from a factorial experiment. In Collins, L. M., & Kugler, K., Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics, pages 175-206. Read
  • Nahum-Shani, I., & Dziak, J. J. (2018). Multilevel factorial designs in intervention development. Chapter in Collins, L. M., & Kugler, K., Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics, pages 47-88. Read
  • Dziak, J.J. & Li, R. (2006). Variable selection with penalized generalized estimating equations. University Park, PA: The Methodology Center, The Pennsylvania State University. Read