معرفی
Craig Enders is Professor and Quantitative Area Chair at UCLA's Department of Psychology. His research develops advanced statistical methods for missing data, including multiple imputation techniques and Bayesian estimation for multilevel models. Created the Blimp software for handling missing data in complex regression models.
Methodological innovations focus on structural equation modeling with incomplete data, model fit assessment, and imputation for nonlinear effects. Research supports applications in behavioral sciences and clinical trials.
Authored the comprehensive textbook 'Applied Missing Data Analysis' and leads NIH-funded projects advancing missing data methodology for psychological research.
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