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Pablo F. Cáncer, Eduardo Estrada & Emilio Ferrer. (2023) A Dynamic Approach to Control for Cohort Differences in Maturation Speed Using Accelerated Longitudinal Designs. Structural Equation Modeling: A Multidisciplinary Journal 30:5, pages 761-777.
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Han Du, Craig Enders, Brian Tinnell Keller, Thomas N. Bradbury & Benjamin R. Karney. (2022) A Bayesian Latent Variable Selection Model for Nonignorable Missingness. Multivariate Behavioral Research 57:2-3, pages 478-512.
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Hermine Lore Nguena Nguefack, M Gabrielle Pagé, Joel Katz, Manon Choinière, Alain Vanasse, Marc Dorais, Oumar Mallé Samb & Anaïs Lacasse. (2020) Trajectory Modelling Techniques Useful to Epidemiological Research: A Comparative Narrative Review of Approaches. Clinical Epidemiology 12, pages 1205-1222.
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Maria Francesca Marino & Marco Alfò. (2020) Finite Mixtures of Hidden Markov Models for Longitudinal Responses Subject to Drop out. Multivariate Behavioral Research 55:5, pages 647-663.
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Alice Arndt, Wolfgang Lutz, Julian Rubel, Thomas Berger, Björn Meyer, Johanna Schröder, Christina Späth, Martin Hautzinger, Kristina Fuhr, Matthias Rose, Fritz Hohagen, Jan Philipp Klein & Steffen Moritz. (2020) Identifying change-dropout patterns during an Internet-based intervention for depression by applying the Muthen-Roy model. Cognitive Behaviour Therapy 49:1, pages 22-40.
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Dee D. Cetin-Berber & Walter L. Leite. (2018) A Comparison of One-Step and Three-Step Approaches for Including Covariates in the Shared Parameter Growth Mixture Model. Structural Equation Modeling: A Multidisciplinary Journal 25:4, pages 588-599.
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Sonya K. Sterba. (2017) Pattern Mixture Models for Quantifying Missing Data Uncertainty in Longitudinal Invariance Testing. Structural Equation Modeling: A Multidisciplinary Journal 24:2, pages 283-300.
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James L. Peugh, Michael D. Toland & Heather Harrison. (2023) A Tutorial for Handling Suspected Missing Not at Random Data in Longitudinal Clinical Trials. The Quantitative Methods for Psychology 19:4, pages 347-367.
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Mirjam A. G. Sprangers, Richard Sawatzky, Antoine Vanier, Jan R. Böhnke, Tolulope Sajobi, Nancy E. Mayo, Lisa M. Lix, Mathilde G. E. Verdam, Frans J. Oort & Véronique Sébille. (2023) Implications of the syntheses on definition, theory, and methods conducted by the Response Shift – in Sync Working Group. Quality of Life Research 32:8, pages 2165-2178.
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Qianheng Ma, Robin J. Mermelstein & Donald Hedeker. (2022) A shared‐parameter location‐scale mixed model to link the responsivity in self‐initiated event reports and the event‐contingent Ecological Momentary Assessments. Statistics in Medicine 41:10, pages 1780-1796.
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Shuihua Wang, M. Emre Celebi, Yu-Dong Zhang, Xiang Yu, Siyuan Lu, Xujing Yao, Qinghua Zhou, Martínez-García Miguel, Yingli Tian, Juan M Gorriz & Ivan Tyukin. (2021) Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects. Information Fusion 76, pages 376-421.
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Keke Schuler, Elizabeth D. Kilmer, Jennifer Callahan, Kristan Dziurzynski & Joshua Swift. (2020) The dose‐effect model is good enough. Counselling and Psychotherapy Research 21:3, pages 608-620.
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Sabine Zinn & Timo Gnambs. (2018) Modeling competence development in the presence of selection bias. Behavior Research Methods 50:6, pages 2426-2441.
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Louisa Hohmann, Jana Holtmann & Michael Eid. (2018) Skew t Mixture Latent State-Trait Analysis: A Monte Carlo Simulation Study on Statistical Performance. Frontiers in Psychology 9.
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María P. Fernández-García, Guillermo Vallejo-Seco, Pablo Livácic-Rojas & Ellian Tuero-Herrero. (2018) The (Ir)Responsibility of (Under)Estimating Missing Data. Frontiers in Psychology 9.
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Nisha C. Gottfredson, Sonya K. Sterba & Kristina M. Jackson. (2016) Explicating the Conditions Under Which Multilevel Multiple Imputation Mitigates Bias Resulting from Random Coefficient-Dependent Missing Longitudinal Data. Prevention Science 18:1, pages 12-19.
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Sonya K. Sterba. (2015) A Latent Transition Analysis Model for Latent-State-Dependent Nonignorable Missingness. Psychometrika 81:2, pages 506-534.
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Manshu Yang, Lijuan Wang & Scott E. Maxwell. (2015) Bias in longitudinal data analysis with missing data using typical linear mixed-effects modelling and pattern-mixture approach: An analytical illustration. British Journal of Mathematical and Statistical Psychology 68:2, pages 246-267.
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