Results 11 to 20 of about 24,946,429 (302)
robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models [PDF]
Journal of Statistical Software, 2016 As any real-life data, data modeled by linear mixed-effects models often contain outliers or other contamination. Even little contamination can drive the classic estimates far away from what they would be without the contamination.
Manuel Koller
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A Comparison of Methods for Specifying Optimal Random Effects Structures
Methodology, 2023 Using Monte Carlo simulations, this study compared the performance of various approaches to the specification of random effects structures in linear mixed effects models (LMMs), including the minimal approach, the maximal approach, the forward search ...
Wen Luo, Haoran Li
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Model selection in linear mixed effect models
Journal of Multivariate Analysis, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heng Peng, Ying Lu 0005
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Linear Mixed-Effects Models in chemistry: A tutorial [PDF]
Analytica Chimica ActaA common goal in chemistry is to study the relationship between a measured signal and the variability of certain factors. To this end, researchers often use Design of Experiment to decide which experiments to conduct and (Multiple) Linear Regression, and/or Analysis of Variance to analyze the collected data. Among the assumptions to the very foundation
Andrea Junior Carnoli +4 more
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Journal of Forest Science, 2015 Models of height curves generated using a linear mixed effects model and generalized model were compared. Both tested models were also compared with local models of height curves, which were fitted using a nonlinear regression.
Z. Adamec
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Journal of Diabetes Investigation, 2020 The association of intra‐individual variability in insulin requirements with C‐reactive protein levels among acute phase patients remains unclear. This retrospective cohort study aimed to evaluate this association.
Ken Kurisu +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The forest dynamics are usually explained by the precipitation and temperature through fixed effects models using ordinary least squares and geographically weighted regression methods.
Tianyu Li, Qingmin Meng, Qian Du
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Design Evaluation and Optimization of Population Pharmacokinetics Model Using an R Package PopED
Mathematics, 2023 The rising cost in drug development has led to continuous calls for more efficient and powerful design optimization and analysis tools for pkpd studies.
Howon Ryu, Weng Kee Wong
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Sample size calculation in multi-centre clinical trials
BMC Medical Research Methodology, 2018 Background Multi-centre randomized controlled clinical trials play an important role in modern evidence-based medicine. Advantages of collecting data from more than one site are numerous, including accelerated recruitment and increased generalisability ...
Markus Harden, Tim Friede
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BMC Pregnancy and Childbirth, 2022 Background Although antenatal care has the potential role to reduce maternal and child morbidity and mortality, utilization of a recommended number of antenatal care visits is still low in Ethiopia.
Hiwotie Getaneh Ayalew +2 more
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