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Robust and Adaptive Two-stage Designs in Nonlinear Mixed Effect Models
Fayette, Lucie, Leroux, Romain, Mentré, France, Seurat, Jérémy
Published in The AAPS journal (13.07.2023)
Published in The AAPS journal (13.07.2023)
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Model selection in linear mixed-effect models
Buscemi, Simona, Plaia, Antonella
Published in Advances in statistical analysis : AStA : a journal of the German Statistical Society (01.12.2020)
Published in Advances in statistical analysis : AStA : a journal of the German Statistical Society (01.12.2020)
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Using Fisher Information Matrix to predict uncertainty in covariate effects and power to detect their relevance in Non-Linear Mixed Effect Models in pharmacometrics
Fayette, Lucie, Brendel, Karl, Mentré, France
Published in Journal of pharmacokinetics and pharmacodynamics (14.07.2025)
Published in Journal of pharmacokinetics and pharmacodynamics (14.07.2025)
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Theoretical Performance of Nonlinear Mixed-Effect Models Incorporating Saliva as an Alternative Sampling Matrix for Therapeutic Drug Monitoring in Pediatrics: A Simulation Study
Kruizinga, Matthijs D, Stuurman, Frederik E, Driessen, Gertjan J A, Cohen, Adam F, Bergmann, Kirsten R, van Esdonk, Michiel J
Published in Therapeutic drug monitoring (01.08.2021)
Published in Therapeutic drug monitoring (01.08.2021)
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Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models
Chua, Alicia S., Egorova, Svetlana, Anderson, Mark C., Polgar-Turcsanyi, Mariann, Chitnis, Tanuja, Weiner, Howard L., Guttmann, Charles R.G., Bakshi, Rohit, Healy, Brian C.
Published in NeuroImage clinical (01.01.2015)
Published in NeuroImage clinical (01.01.2015)
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Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines
Grajeda, Laura M, Andrada Ivanescu, Saito, Mayuko, Crainiceanu, Ciprian, Devan Jaganath, Gilman, Robert H, Crabtree, Jean E, Kelleher, Dermott, Cabrera, Lilia, Vitaliano Cama, Checkley, William
Published in Discover public health (01.01.2016)
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Published in Discover public health (01.01.2016)
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Item Response Modeling and Artificial Neural Network for Differentiation of Parkinson's Patients and Subjects Without Evidence of Dopaminergic Deficit
Arrington, Leticia, Dijkman, Sven C., Plan, Elodie L., Karlsson, Mats O.
Published in CPT: pharmacometrics and systems pharmacology (01.05.2025)
Published in CPT: pharmacometrics and systems pharmacology (01.05.2025)
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Noise reduction in genome-wide perturbation screens using linear mixed-effect models
Yu, Danni, Danku, John, Baxter, Ivan, Kim, Sungjin, Vatamaniuk, Olena K., Salt, David E., Vitek, Olga
Published in Bioinformatics (15.08.2011)
Published in Bioinformatics (15.08.2011)
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Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines
Grajeda, Laura M., Ivanescu, Andrada, Saito, Mayuko, Crainiceanu, Ciprian, Jaganath, Devan, Gilman, Robert H., Crabtree, Jean E., Kelleher, Dermott, Cabrera, Lilia, Cama, Vitaliano, Checkley, William
Published in Emerging themes in epidemiology (07.01.2016)
Published in Emerging themes in epidemiology (07.01.2016)
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Spectral-based non-central F mixed effect models, with application to otoacoustic emissions
Wei, Lai, Craigmile, Peter F., King, Wayne M.
Published in Journal of time series analysis (01.09.2012)
Published in Journal of time series analysis (01.09.2012)
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Effective simultaneous confidence bands for repeated measurements in linear mixed-effect models
Mun, Jungwon, Chun, Hyonho
Published in Journal of statistical computation and simulation (03.08.2014)
Published in Journal of statistical computation and simulation (03.08.2014)
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