mixed effects
The Value of a Statistical Life: A Meta-Analysis with a Mixed Effects Regression Model
... meta-analysis, mixed effects regression model, hedonic wage method, risk Résumé: La valeur statistique d’une vie humaine (VSV) est un sujet de recherche très controversé, mais essentiel à l’optimisation des ...
60
A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models.
... random effects and residuals were resampled remained the best methods and selected as bootstrap candidates for linear mixed-effects ...linear mixed-effects ...random effects and ...
37
A latent mixed-effects model for longitudinal categorical data in Parkinson disease
... Ø References [1] Schiratti J-B, Allassonnière S, Colliot O, Durrleman S. Learning spatiotemporal trajectories from manifold-valued longitudinal data. In Advances in Neural Information Processing Systems, pp. 2395– 2403, ...
2
Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data
... particular, mixed-effects mod- els, which include fixed and random effects, have a hierarchical structure which allows us to describe the model at the group and subjects ...
13
A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data
... Abstract. Mixed-effects models provide a rich theoretical framework for the analysis of longitudinal data. However, when used to analyze or predict the progression of a neurodegenerative disease such as ...
13
Design evaluation and optimisation in crossover pharmacokinetic studies analysed by nonlinear mixed effects models
... nonlinear mixed effects models (NLMEM) [10, 11], which is more complex than NCA but benefits from the knowledge accumulated about the drug and can characterise the PK with few samples per ...
27
Evaluation of bootstrap methods for estimating uncertainty of parameters in nonlinear mixed-effects models: a simulation study in population pharmacokinetics
... In order to understand the use of bootstrap in the field of population PKPD, we conducted a literature re- search in PUBMED with the keywords "bootstrap AND population AND (pharmacokinetics OR pharmaco- dynamics OR ...
29
Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model
... Non-linear mixed-effects models are thus proposed to model this decrease of the viral load after initiation of treatment and to evaluate the intra- and inter-patient ...
25
Validity of summary statistics-based mixed-effects group fMRI
... Validity of summary statistics-based mixed-effects group fMRI Camille Maumet 1 and Thomas E. Nichols 1,2 1. University of Rennes, Inria, CNRS, Inserm, IRISA, Rennes, France. 2. Oxford Big Data ...
3
Phenomenological modeling of tumor diameter growth based on a mixed effects model
... • Description of the inter-individual variability. The experiment design pro- vides longitudinal data with few observation times but with repeated mea- surements among subjects. Indeed in vitro as well as in vivo ...
30
Pharmacokinetic similarity of biologics: analysis using nonlinear mixed-effects modeling.
... linear mixed effects model including formulation, period, sequence as fixed effects, and subject as random effect, was ...formulation effects were computed using a Student distribution with ...
34
Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy
... Keywords: principal component analysis, motion/deformation models, mixed-effects models, prostate cancer radiotherapy. Prostate cancer is one the most common cancer types worldwide. One of the standard ...
47
The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.
... KEYWORDS: Likelihood ratio test; Wald test; longitudinal data; Non-linear mixed effects models; SAEM algorithm; sample size. 1 Introduction Most clinical trials aim at comparing the efficacy of two ...
30
Performance comparison of various maximum likelihood nonlinear mixed-effects estimation methods for dose-response models.
... 10 twice: once with the default settings (SAEM_NM and SAEM_MLX), and a second time with modified settings (SAEM_NM_tun and SAEM_MLX_tun). SAEM_NM was run with the defaults NITER=1000, ISAMPLE=2 and IACCEPT=0.4, and with ...
41
BIC selection procedures in mixed effects models
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...
21
Design Optimization in Nonlinear Mixed Effects Models Using Cost Functions: Application to a Joint Model of Infliximab and Methotrexate Pharmacokinetics: Designs in nonlinear mixed effects models
... effects; however, in practice, one may want to allow correlation between the random effects. Although the proposed expression of M F allows those correlations, it has not been yet implemented in PFIM. In ...
36
Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects.
... non-linear mixed effects ...random effects are the between-subject variance and the within-subject (or between-unit) variance, with N subjects and K units, with no restriction on N or ...random ...
30
Exploring univariate mixed polynomials
... Another objects of interest are the mixed polynomials, of degrees (n, 1), with given random distribution of coefficients. Experiments with the com- puter algebra system Maple allowed to observe interesting ...
21
Mixed-metal metal–organic frameworks
... luminescent mixed-lanthanide MOF approach to realize practically valuable luminescent ...the mixed-metal ...the mixed-lanthanide MOFs is their near-infrared emissions (NIR) which can be applied in ...
33
Qualitative Possibilistic Mixed-Observable MDPs
... possibilistic Mixed- Observable MDP model (π-MOMDP), which is the first contribution of this paper, indeed allows us to rea- son with beliefs over the partially observed states ...
11