Publications – Missing Data Methods
Leite, W. L., Aydin, B., & D. D. Cetin-Berber (2021). Imputation of Missing Covariate Data Prior to Propensity Score Analysis: A Tutorial and Evaluation of Robustness of Practical Approaches. Evaluation Review. https://doi.org/10.1177/0193841X211020245
Cetin-Berber, D. D., & Leite, W. L. (2018). A comparison of one-step and three-step approaches for including covariates in the shared parameter growth mixture model. Structural Equation Modeling. 25(4), 588-599, 10.1080/10705511.2018.1428806
Leite, W. L., & Beretvas, S. N. (2010). The performance of multiple imputation for Likert-type items with missing data. Journal of Modern Applied Statistical Methods, 9(1), 64-74.
