Results 141 to 150 of about 4,781,842 (185)

Attention modulates the effects of stimulus brightness and contrast on time perception. [PDF]

Psychon Bull Rev
Karsilar H, van Rijn H, Mathôt S.
europepmc   +1 more source

Growth Performance Is Driven by Site Conditions and Moderated by Functional Trait Plasticity in <i>Quercus robur</i> and <i>Prunus avium</i>. [PDF]

Ecol Evol
Di Fabio A, Aspalter S, Chakraborty D, van Loo M, Rolke LM, Schüler S, Thiel R, Veit C, Kreyling J.   +8 more
europepmc   +1 more source

The Effects of Excessive Arousing Video Gaming on vmHRV During Sleep in Habitual Gamers. [PDF]

Appl Psychophysiol Biofeedback
Alesi A, Klier K, Herhaus B, Brixius K, Froböse I, Wagner M, Petrowski K.   +6 more
europepmc   +1 more source

Regression approaches for modeling genotype-environment interaction and making predictions into unseen environments. [PDF]

Theor Appl Genet
Hrachov M, Piepho HP, Rahman NMF, Malik WA.   +3 more
europepmc   +1 more source

The potential impacts of regional artificial intelligence development on depressive symptoms in older adults: evidence from China. [PDF]

Front Psychol
Wan S, Liang Y, Ding Z, Tang Y, Yang L.
europepmc   +1 more source

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Fixed-effect Versus Random-effects Models for Meta-analyses: Fixed-effect Models

European Urology Focus, 2023
A fixed-effect model considers a common underlying effect size for all the studies included in a meta-analysis. In the face of appreciable between-study heterogeneity, a fixed-effect model is a valuable tool when precision is the priority.
Hadi Mostafaei, Morteza Ghojazadeh, Sakineh Hajebrahimi   +2 more
openaire   +2 more sources

Fixed-effect Versus Random-effects Models for Meta-analyses: Random-effects Models

European Urology Focus, 2023
Random-effects models can account for variability both within and between studies. This makes them suitable for meta-analyses in surgery, where there is often significant heterogeneity between studies or heterogeneity owing to intrinsic differences attributable to patient or population factors.
Alex L.E. Halme, Kristen McAlpine, Alberto Martini   +2 more
openaire   +2 more sources

Latent Variable Models with Fixed Effects

Biometrics, 1996
We discuss latent variable models that allow for fixed effect covariates, as well as covariates affecting the latent variable directly. Restricted maximum likelihood and maximum likelihood are used to estimate model parameters. A generalized likelihood ratio test can be used to test significance of the covariates effecting the latent outcomes.
Sammel, Mary Dupuis, Ryan, Louise M.
openaire   +2 more sources