A stochastic mixed effects model to assess treatment effects and fluctuations in home-measured peak expiratory flow and the association with exacerbation risk in asthma [PDF]
, 2022 Home-based measures of lung function, inflammation, symptoms, and medication use are frequently collected in respiratory clinical trials. However, new statistical approaches are needed to make better use of the information contained in these data-rich ...
Eriksson, Ulf, +16 more
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Estimating basis functions in massive fields under the spatial mixed effects model [PDF]
, 2021 Spatial prediction is commonly achieved under the assumption of a Gaussian random field by obtaining maximum likelihood estimates of parameters, and then using the kriging equations to arrive at predicted values.
Pazdernik, Karl, Maitra, Ranjan
core
Mixed effect models in distance sampling [PDF]
, 2013 Recently, much effort has been expended for improving conventional distance sampling methods, e.g. by replacing the design-based approach with a model-based approach where observed counts are related to environmental covariates (Hedley and Buckland, 2004)
Oedekoven, Cornelia Sabrina
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The geometry of the lactation curve based on Wood's equation: a two-step prediction
Revista Brasileira de Zootecnia, 2020 Lactation records from cows of the southwestern Paraná state, Brazil, form the dataset of this study. We applied the information-theoretic approach to evaluate the ability of the nonlinear Wood, Brody, Dijkstra, and Gamma functions to fit to these data ...
Jhone Gleison de Oliveira +6 more
doaj +1 more source
Incorporating random effects in biopharmaceutical control strategies
AAPS Open, 2023 Objective Random effects are often neglected when defining the control strategy for a biopharmaceutical process. In this article, we present a case study that highlights the importance of considering the variance introduced by random effects in the ...
Thomas Oberleitner +4 more
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Mixed-effects model predicting the valence of video content created by older adults on TikTok.
, 2023 Mixed-effects model predicting the valence of video content created by older adults on TikTok.
Reuben Ng (692015) +1 more
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BMC Bioinformatics, 2021 Background Nonlinear mixed effects models provide a way to mathematically describe experimental data involving a lot of inter-individual heterogeneity.
Ronan Duchesne +3 more
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A 2-step strategy for detecting pleiotropic effects on multiple longitudinal traits
Frontiers in Genetics, 2014 Genetic pleiotropy refers to the situation when a single gene influences multiple traits and so it is considered as a major factor that underlies the genetic correlation among traits.
Weiqiang eWang +4 more
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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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A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Thomas Kneib +4 more
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