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For each borehole, monthly GWLs are simulated using empirical mixed models where the fixed effects are based on applying an impulse response function to the local monthly precipitation.
We consider a general class of mixed models, where the individual parameter vector is composed of a linear function of the population parameter vector plus an individual random effects vector.
In the former case, data from individuals on the same nest cannot be considered independent, so we used mixed models where "nest" could be fitted as a random factor, to avoid pseudoreplication.
These analyses were tackled by applying random intercept repeated-measures mixed models where individual was entered as a random effect and the linear and second order polynomial terms of age as predictors together with sex.
The correlation of full-contrast visual acuity (EDTRS, Pelli-Robson and Sloan charts), Lanthony desaturated colour vision test, and the "Mean Deviation" of the Humphrey visual field analysis with RNFL was investigated by mixed models where each of the tests was taken as a single fixed effect and age at OCT as additional random factor.
Genetic correlations were estimated as the Pearson correlation between traits for family corrected means derived from mixed models where family was coded as random (Lamy et al. 2012).
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The relationships of K1, K2 or RETT to length of intubation was analysed by linear mixed model where tube brand and size were factors with random effects.
The relationships of K1, K2 or RETT to lenght of intubation was analysed by linear mixed model where tube brand and size were factors with random effects.
Data were analyzed using a linear mixed model where results are adjusted for variation within individuals.
Therefore we developed a mixed model where we adopted value with higher coefficient of determination in each age group.
The animal model is a linear mixed model where one of the random effects is the identity of the individual, linked to its pedigree.
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