Dr. Menglin Xu
Researcher, OSU Wexner Medical Center
College of Medicine, The Ohio State University
Title: Two Method Measurement Planned Missing Data with Purposefully Selected Samples
Abstract: Two-method planned missing methods are increasingly popular tool for applied researchers to design efficient research under budget limit. Previous TMM research typically focus on the missing mechanism of MCAR, leaving the question of TMM under MAR unaddressed. This study fills the gap by conducting a Monte Carlo simulation study varying the conditions of missing data design and autoregressive path size. Results suggest a) higher correlation between the auxiliary variable and model variable is associated with greater estimation biases in factor loadings and autoregressive paths; b) the inclusion of the auxiliary variable to the analysis model well recovers the estimation accuracy; c) statistical power of detecting the treatment effect is affected by autoregressive path size.
Dr. Menglin Xu is OSU graduate of the statistics department and has an appointment within the OSU Wexner Medical Center. Recently Dr. Xu was invited to join the Editorial Board of the Journal of Diagnostic Medical Sonography as a volunteer statistical consultant.