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Booil Jo, Trevor J. Hastie, Zetan Li, Eric A. Youngstrom, Robert L. Findling & Sarah McCue Horwitz. (2023) Reorienting Latent Variable Modeling for Supervised Learning. Multivariate Behavioral Research 0:0, pages 1-15.
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Sonya K. Sterba & Jason D. Rights. (2022) R-squared Measures for Multilevel Mixture Models with Random Effects. Structural Equation Modeling: A Multidisciplinary Journal 29:4, pages 489-506.
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Arash Nademi. (2021) The single-index panel data models with heterogeneous link function: mixture approach. Communications in Statistics - Simulation and Computation 50:8, pages 2418-2431.
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Steven P. Reise, Dale S. Kim, Maxwell Mansolf & Keith F. Widaman. (2016) Is the Bifactor Model a Better Model or Is It Just Better at Modeling Implausible Responses? Application of Iteratively Reweighted Least Squares to the Rosenberg Self-Esteem Scale. Multivariate Behavioral Research 51:6, pages 818-838.
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Articles from other publishers (11)
Rebecca Anthopolos, Qixuan Chen, Joseph Sedransk, Mary Thompson, Gang Meng & Sandro Galea. (2023) A Bayesian growth mixture model for complex survey data: Clustering postdisaster PTSD trajectories. The Annals of Applied Statistics 17:3.
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Sung Hoo Kim & Patricia L. Mokhtarian. (2023) Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions. Transportation Research Part B: Methodological 172, pages 134-173.
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Daniel McNeish & Jeffrey R. Harring. (2021) Improving convergence in growth mixture models without covariance structure constraints. Statistical Methods in Medical Research 30:4, pages 994-1012.
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Vanessa De Rubeis, Alessandra T. Andreacchi, Isobel Sharpe, Lauren E. Griffith, Charles D. G. Keown‐Stoneman & Laura N. Anderson. (2020) Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review. Obesity Science & Practice 7:1, pages 100-128.
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Abdulhakim A. Albabtain, Mansour Shrahili, M. A. Al-Shehri & M. Kayid. (2020) Stochastic Comparisons of Weighted Distributions and Their Mixtures. Entropy 22:8, pages 843.
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Daniel McNeish & Jeffrey Harring. (2019) Covariance pattern mixture models: Eliminating random effects to improve convergence and performance. Behavior Research Methods 52:3, pages 947-979.
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Anna E. Austin, Nisha C. Gottfredson, Adam J. Zolotor, Carolyn T. Halpern, Stephen W. Marshall, Rebecca B. Naumann & Meghan E. Shanahan. (2019) Trajectories of child protective services contact among Alaska Native/American Indian and non-Native children. Child Abuse & Neglect 95, pages 104044.
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Sarah J. Schmiege, Katherine E. Masyn & Angela D. Bryan. (2017) Confirmatory Latent Class Analysis. Organizational Research Methods 21:4, pages 983-1001.
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B. Kopp, J. Vignard, G. Mirey, V. Fessard, D. Zalko, L. Le Hgarat & M. Audebert. (2018) Genotoxicity and mutagenicity assessment of food contaminant mixtures present in the French diet. Environmental and Molecular Mutagenesis 59:8, pages 742-754.
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Chenxi Huang, Sanket S. Dhruva, Andreas C. Coppi, Frederick Warner, Shu‐Xia Li, Haiqun Lin, Khurram Nasir & Harlan M. Krumholz. (2017) Systolic Blood Pressure Response in SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD (Action to Control Cardiovascular Risk in Diabetes): A Possible Explanation for Discordant Trial Results. Journal of the American Heart Association 6:11.
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Denis G. Dumas & Daniel M. McNeish. (2017) Dynamic Measurement Modeling: Using Nonlinear Growth Models to Estimate Student Learning Capacity. Educational Researcher 46:6, pages 284-292.
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