Results 211 to 220 of about 1,187,101 (264)

The influence of aspect markers and tense on the action-sentence compatibility effect in Mandarin action sentence comprehension. [PDF]

PLoS One
Fan N, Zhu H, Cai Z.
europepmc   +1 more source

When the outcome is compositional: A method for conducting compositional response linear mixed models for physical activity, sedentary behaviour and sleep research. [PDF]

PLoS One
Miatke A, Stanford T, Olds T, Fraysse F, Maher C, Martin-Fernandez JA, Dumuid D.   +6 more
europepmc   +1 more source

Human papillomavirus and vaccine knowledge, willingness, and uptake among university students: a systematic review and meta-analysis. [PDF]

BMC Public Health
Li W, Jin Y, Li X, Jin M.
europepmc   +1 more source

Predicting individual tree diameter at breast height for genetically diverse <i>Catalpa bungei</i> using nonlinear mixed-effects models and UAV LiDAR data. [PDF]

Front Plant Sci
Zhang Y, Zhang M, Chen Q, Fu L, Ma W, Duan G, Fu X, Zheng Z, Wu C, Wang Q, Shun Y, Li P.   +11 more
europepmc   +1 more source

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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

Random Effects Models

1994
This chapter is concerned with random effects models for analyzing nonnormal data that are assumed to be clustered or correlated. The clustering may be due to repeated measurements over time, as in longitudinal studies, or to subsampling the primary sampling units, as in cross-sectional studies.
Ludwig Fahrmeir, Gerhard Tutz
openaire   +1 more source

Random Effects Models

2017
This chapter deals with the most relevant multi-dimensional random effects panel data models, where, unlike the case of fixed effects, the number of parameters to be estimated does not increase with the sample size. First, optimal (F)GLS estimators are presented for the textbook-style complete data case, paying special attention to asymptotics.
Balazsi, Laszlo, Baltagi, Badi H., Matyas, Laszlo, Pus, Daria   +3 more
openaire   +2 more sources