Results 21 to 30 of about 489,917 (280)
Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models [PDF]
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
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
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
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]
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
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
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]
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]
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
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

