Results 51 to 60 of about 17,397,740 (295)

Linguistic pitch analysis using functional principal component mixed effect models [PDF]

open access: yes, 2009
Fundamental frequency (F0, broadly 'pitch') is an integral part of spoken human language; however, a comprehensive quantitative model for F0 can be a challenge to formulate owing to the large number of effects and interactions between effects that lie ...
Aston, John A. D.   +5 more
core   +1 more source

Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation [PDF]

open access: yes, 2011
Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates.
Groll, Andreas
core   +3 more sources

Modeling Peak Expiratory Flow in Patients With Asthma and Quantifying Treatment Effects Using a Mixed‐Effects Hidden Markov Model

open access: yesCPT: Pharmacometrics & Systems Pharmacology
Clinical trials in asthma and chronic obstructive pulmonary disease often use exacerbation risk as the primary endpoint. However, exacerbations occur with low frequency, leading to long and costly clinical trials.
Ludvig Jakobsson   +4 more
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Growth Acceleration Determinants in East Asia and MENA: Empirical Evidence from Mixed Effect Models [PDF]

open access: yesSocioEconomic Challenges
This study is aimed at studying the main factors that determine the process of accelerating economic growth in countries located in East Asia, the Middle East and North Africa between 1996 and 2019.
Issam Djouadi   +2 more
doaj   +1 more source

Practical identifiability in the frame of nonlinear mixed effects models: the example of the in vitro erythropoiesis

open access: yesBMC 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
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects

open access: yesRemote Sensing, 2018
The purpose of this research was to use empirical models to monitor temporal dynamics of soil moisture in a peatland using remotely sensed imagery, and to determine the predictive accuracy of the approach on dates outside the time series through ...
Koreen Millard   +3 more
doaj   +1 more source

Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2016
Although it has long been known that analyses that treat stimuli as a fixed effect do not permit generalization from the sample of stimuli to the population of stimuli, surprisingly little attention has been paid to this issue outside of the field of ...
Chang, Yu-Hsuan A., Lane, David M.
doaj   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

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