Random effects
GENERALIZED LINEAR MIXED MODELS WITH SPATIAL RANDOM EFFECTS FOR SPATIO-TEMPORAL DATA: AN APPLICATION TO DENGUE FEVER MAPPING
... The GLMMs with proper CAR spatial random effects under a hierarchical Bayesian framework for spatio-temporal data are proposed. The proposed models are applied to Dengue fever data in Northern Thailand. The ...
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Using observation-level random effects to model overdispersion in count data in ecology and evolution
... the random effects variance increases so much when adding an OLRE (as described above), calculating the variance explained by both the fixed and random effects [(fixed effect + random ...
19
A practical guide and power analysis for GLMMs: detecting among treatment variation in random effects
... of random intercepts and slopes GLMMs in ecology, evolution, and behavior, the use of GLMMs to compare variance components among populations or among experimental treatments is ...focal random effect when ...
24
Correction: Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study.
... The authors were notified of a coding error that introduced several errors in the article. The original simulation used the hypothesized group mean instead of the “observed” group mean after randomly drawing from the ...
4
Genetic parameters estimation in King palm through a mixed mating system model
... including random cross-pollination and selfing at different ...all random effects of the linear model, provided the highest selection accuracy for all traits, whatever the individual heritability ...
6
Functional imaging of numerical processing in adults and 4-y-old children.
... a random-effects analysis and compared against baseline ...a random-effects analysis and compared this against baseline activity, providing strong evidence in favor of the argument that the ...
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Determining individual variation in growth and its implication for life-history and population processes using the empirical Bayes method.
... hierarchical, random-effects, multilevel, or mixed models ...term random-effects model. Modeling and estimating random effects also have the advantage of addressing the lack of ...
16
Exposure to fluoride in drinking water and hip fracture risk: a meta-analysis of observational studies.
... using random effects and included the pooled risks esti- mates in the primary ...a random-effects model and then used the pooled estimates for the ...
14
Modeling Road Accidents using Fixed Effects Model: Conditional versus Unconditional Model
... fixed effects (FE) and the random effects (RE) which were proposed for panel count data model by Hausman, Hall and Griliches (HHG) ...fixed effects negative binomial model method since it has ...
6
The determinants of venture capital across Europe: evidence across countries
... With respect to the market capitalization growth we get a statistically significant positive impact in most random effects models. However, in some cases the effect is not economically relevant since the ...
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MIXED-EFFECTS GROWTH CURVES IN THE EVALUATION OF NELLORE SIRES
... ABSTRACT: Cattle breeding programmes need objective criteria in order to evaluate and subsequently improve production systems. This work uses a logistic growth curve model for evaluating sires based on their progeny ...
6
Determinantes de Liquidez: Evidência nas PME e nas Empresas de Crescimento Portuguesas
... Na parte empírica estimaram-se a vários modelos: i) na amostra global para além dos modelos estáticos (i.e., Pooled OLS, Random Effects, Fixed Effects) apresenta-se ainda o modelo dinâmico. Os ...
57
Meta-analysis of aspirin for the prevention of preeclampsia: do the main randomized controlled trials support an association between low-dose aspirin and a reduced risk of developing preeclampsia?
... backward random-effects meta-regression reveals that year of publication and total sample size were associated with reduced magnitudes of RR (year of publication slope co- efficient = ...
4
Multilevel model analysis using R
... models, random coeffi cient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one ...
12
An impact evaluation of Programa de Apoio à Economia Local (PAEL) on the water services provided by municipalities in Portugal
... Fixed-effects models are used to analyze the impact of variables that differ over time, and requires repeated observations from the same individuals. The fixed-effects model explores the relationship ...
26
Multivariate Meta-Analysis of Genetic Association Studies: A Simulation Study.
... under random-effects (RE) ...above), random-effect analysis is the sensible and natural framework that can utilize the non-zero between-study correlation ...[14,15,16], random-effects ...
19
Genotypic parameters for egg production in pure breed hens by using random regression model
... in random regression models to model the egg production of Barred Plymouth Rock and White Plymouth Rock hens aged between 5 and 12 ...Six random regression models were evaluated, and for each model, 12 ...
7
Distinct regions of right temporo-parietal junction are selective for theory of mind and exogenous attention.
... An analysis of overlap between activations was conducted on group random effects data using in-house software. Overlap was calculated as a function of threshold on the voxel-wise T statistic for the two ...
7
New recommendations from the United States government on breast cancer screening
... Bayesian random effects model was used to obtain a summary of relative risk estimates of the effectiveness of screening with mammography, ei- ther alone or in combination with clinical breast ex- amination, ...
5
BMC Pregnancy Childbirth
... The random effects in the final models were identified either at the intercept alone, or at the intercept and the time co- ...two random effects, the best structure for the variance-covariance ...
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