Jae Keun Yoo

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PURPOSE To attempt to determine whether group audiologic rehabilitation (AR) content affected psychosocial outcomes. METHOD A randomized controlled trial with at least 17 participants per group was completed. The 3 treatment groups included a communication strategies training group, a communication strategies training plus psychosocial exercise group, and(More)
Generalized linear models with random effects are often used to explain the serial dependence of longitudinal categorical data. Marginalized random effects models (MREMs) permit likelihood-based estimations of marginal mean parameters and also explain the serial dependence of longitudinal data. In this paper, we extend the MREM to accommodate multivariate(More)
Changes in microRNA (miRNA) expression patterns have been extensively characterized in several cancers, including human colon cancer. However, how these miRNAs and their putative mRNA targets contribute to the etiology of cancer is poorly understood. In this work, a bioinformatics computational approach with miRNA and mRNA expression data was used to(More)
Random effects in generalized linear mixed models (GLMM) are used to explain the serial correlation of the longitudinal categorical data. Because the covariance matrix is high dimensional and should be positive definite, its structure is assumed to be constant over subjects and to be restricted such as AR(1) structure. However, these assumptions are too(More)
Recent sufficient dimension reduction methodologies in multivariate regression do not have direct application to a categorical predictor. For this, we define the multivariate central partial mean subspace and propose two methodologies to estimate it. The first method uses the ordinary least squares. Chi-squared distributed statistics for dimension tests are(More)
Rand Corporation, Pittsburgh, PA 15213 e-mail: setodji@rand.org Abstract: Many sufficient dimension reduction methodologies for univariate regression have been extended to multivariate regression. Sliced average variance estimation (SAVE) has the potential to recover more reductive information, and recent development enables us to test the dimension and(More)
In order to keep production balance at a mixed-model assembly line and a painting line, large WIP(WorkIn-Process) inventories are required between two lines. To increase the efficiency of line handling through reducing the inventories under this circumstance, this paper concerns with a sequencing problem for a mixed-model assembly line that includes a(More)