Sentence examples for age and random from inspiring English sources

Parameters of the mixed model including fixed effects of age and random effects of genes and environment were estimated by Markov Chain Monte Carlo simulations using the BUGS algorithm for Gibbs sampling.

We used linear mixed effects models (Bates et al., 2013) to analyze our data and quantify the relationship between fixed (speed, gender, weight, length, age) and random (subject) effects and values for each stride parameter.

Three-level mixed-effects models consisted of fixed effects (group, child's age in months, non-linear effects AgeInMonths and AgeInMonths and interactions between group and age) and random effects (measurements within child within centre).

Adjusted sire mortality means were constructed by fitting a generalized linear mixed model (with fixed effect of dam's age and random effect of hatch) to data (dead or alive) from individual birds, to get a residual for each bird, and then averaging progeny residuals for each sire (see Appendix).

A number of studies provide RR estimates for ever/current smoking separately by age, and random-effects meta-analysis were conducted, based on the ratio of the estimate for the oldest age group for which data were available compared to that for the youngest.

Suzuki, N. & Withers, H.R. Exponential decrease during aging and random lifetime of mouse spermatogonial stem cells.

Our sampling strategies included a newborn-only sample (to estimate N b ), a sample with equal representation from each of the age classes (e.g., 20 individuals sampled from each of five age classes), a random mixed-age sample, and random samples of only reproductively mature adults.

All subjects aged 55-74 years and random 5-10% samples of the other age groups who attended the first examination were invited to a second visit (Phase 2) for a more extensive screening, and 7965 subjects attended (93% of those invited at Phase 1).

All inhabitants of Tromsø aged 55 74 years and random 5-10% samples of subjects in the age groups 20 54 years and 75 84 years were invited to the 2nd visit, and 6885 subjects attended (79% of the eligible population).

The linear fits between mutation numbers and age shown in Fig. 1 were obtained using a robust mixed model where the dependent variable is the number of mutations or a given mutational signature, the fixed effect is age, and the random effect is the individual.

For the lymphocyte sample, the same test was applied but without the global expression covariate according to the following: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0003024.e004.PNG" class= inline-graphic"/> where Y is the normalized expression level of each transcript, x1 age, β0 intercept, β1 slope of age, and ε random error.