Sentence examples for mean model estimate from inspiring English sources

Overall, plasma carotenoid concentration was significantly greater during molt than during the breeding season (mean model estimate, μg/mL ± SE: 14.46±1.18 during molt vs. 9.03±0.92 during breeding season; t = 3.95, P = 0.0002; Figure 1).

It follows 6,137 children in the PSID from childhood through adolescence and overcomes methodological problems associated with the joint endogeneity of neighborhood context and family income by adapting novel counterfactual methods a structural nested mean model estimated via two-stage regression with residuals for time-varying treatments and time-varying effect moderators.

Comparisons between candidate models are also often made with respect to their differences from the mean model estimated from the K candidate models.

Mean model estimates for various groups were prepared by inserting the mean parameter values into the untransformed final models.

The random regression estimates of h were equal or slightly lower, and the m estimates equal or slightly greater than the respective mean model estimates.

We will report risk differences in the outcomes using additive structural mean models estimated via the generalised method of moments.

We did so in a structured means model (estimating latent means while constraining measurement intercepts equal across groups [ 53]) to control for the effects of gestational age on MFR.

The MNB-Pois model gave the best fit (lowest AIC) while its marginal mean model parameter estimates and standard errors were similar in value to those of the next best fitting model, MZINB.

However, Alternative Model 1 had a latent correlation of 1.06, which means the model estimate could not be interpreted at all, and Alternative Model 2 had a latent correlation of 0.96, which does not support the assumption of a two-factor structure.

Quantile regression (Koenker and Basset 1978) may be viewed as an extension of least squares estimation of conditional mean models to estimate an ensemble of models for several conditional quantile functions, taking into account the effects a set of covariates plays on a response variable.

In a hypothetical district with no city, state capital, and all other variables at the sample mean, the model estimates a log density of 1.919 corresponding to 6.81 specialists per 10 000 inhabitants.