Results 21 to 30 of about 489,917 (280)

Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models [PDF]

open access: yes, 2014
1.Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R2 to apply to generalized linear mixed models (GLMMs). However, their R2GLMM method is restricted to models with the simplest random effects structure, known as random ...
Johnson, Paul C.D.
core   +2 more sources

Longitudinal modeling using log-gamma mixed model: case of memory deterioration after chronic cerebral hypoperfusion associated with diabetes in rats

open access: yesActa Scientiarum: Technology, 2019
In recent years several longitudinal studies have been conducted in the field of pharmacology. In general, continuous response variables occur frequently in these situations and tend to present asymmetric characteristics, as well as being restricted to ...
Matheus Henrique Dal Molin Ribeiro   +4 more
doaj   +1 more source

Analysis of neonatal clinical trials with twin births

open access: yesBMC Medical Research Methodology, 2009
Background In neonatal trials of pre-term or low-birth-weight infants, twins may represent 10–20% of the study sample. Mixed-effects models and generalized estimating equations are common approaches for handling correlated continuous or binary data ...
Shaffer Michele L   +2 more
doaj   +1 more source

The geometry of the lactation curve based on Wood's equation: a two-step prediction

open access: yesRevista 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

Simultaneous Inference in General Parametric Models [PDF]

open access: yes, 2008
Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level ...
Bates   +29 more
core   +3 more sources

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape

open access: yesFrontiers in Psychology, 2018
As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because ...
Christophe Coupé
doaj   +1 more source

Conditional Model Selection in Mixed-Effects Models with cAIC4

open access: yesJournal of Statistical Software, 2021
Model selection in mixed models based on the conditional distribution is appropriate for many practical applications and has been a focus of recent statistical research.
Benjamin Säfken   +3 more
doaj   +1 more source

Generalized estimating equations and generalized linear mixed‐effects models for modelling resource selection [PDF]

open access: yesJournal of Applied Ecology, 2009
Summary Accurate resource selection functions (RSFs) are important for managing animal populations. Developing RSFs using data from GPS telemetry can be problematic due to serial autocorrelation, but modern analytical techniques can help to compensate for this correlation.
Nicola Koper, Micheline Manseau
openaire   +1 more source

The subset argument and consistency of MLE in GLMM: Answer to an open problem and beyond [PDF]

open access: yes, 2013
We give answer to an open problem regarding consistency of the maximum likelihood estimators (MLEs) in generalized linear mixed models (GLMMs) involving crossed random effects.
Jiang, Jiming
core   +1 more source

A guide to developing resource selection functions from telemetry data using generalized estimating equations and generalized linear mixed models

open access: yesRangifer, 2012
Resource selection functions (RSF) are often developed using satellite (ARGOS) or Global Positioning System (GPS) telemetry datasets, which provide a large amount of highly correlated data.
Nicola Koper, Micheline Manseau
doaj   +1 more source

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