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Articles by Sooyong Lee
Comparing inference methods for causal mediation analysis with nominal mediators: A simulation and empirical study
Abstract In this study we advance causal mediation analysis for nominal mediators within a potential outcome framework. Through Monte Carlo simulations, we compared three inference methods for testing total natural indirect effects (TNIE) and pure natural indirect effects (PNIE): non-parametric bootstrapping, parametric resampling, and Bayesian estimation.
Development of a Method for Handling Doubly-Censored Data in a Latent Growth Curve Modeling Framework
Abstract This study addresses the challenge of doubly-censoring effects in longitudinal data structures, particularly within latent growth curve models (LGCMs). Censoring can severely bias estimates and inferences, distorting the relationships between growth factors and covariates. To combat this issue, this study introduces the Generalized Tobit estimator (GBIT), an advancement of the conventional Tobit model, designed to handle mixed censoring effects in longitudinal data.
A Thermodynamic Model for Cryogenic Liquid Hydrogen Fuel Tanks
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New Advances in Physical Therapy and Occupational Therapy
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Effects of Neuromuscular Electrical Stimulation with Gastrocnemius Strengthening on Foot Morphology in Stroke Patients: A Randomized Controlled Trial
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A Bayesian Moderated Nonlinear Factor Analysis Approach for DIF Detection under Violation of the Equal Variance Assumption
References , , & (2010). Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study. AStA Advances in Statistical Analysis, 94(2), 117–127. , , , , & (2012). Measurement bias detection through factor analysis. Structural Equation Modeling: A Multidisciplinary Journal, 19(4), 561–579. , & (2009). Psychometric approaches for developing commensurate measures across independent studies: traditional and new models.
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