Sentence examples for using the generalized estimation from inspiring English sources

Significance was estimated using the generalized estimation equations (PGEE) and multivariate analysis of variation (PMAN); the required sample size by generalized estimation equations (nGEE as number of subjects) and power analysis (nPA).

The exploration of factors associated with being compliance and on-time with ANC/EPI visit schedule was thus based on visits using the Generalized Estimation Equation (GEE) model.

In all analyses, the global P values were obtained from models using the generalized estimation equation (GEE) to account for familial correlation, except for analyses for which sample sizes were too small to permit the GEE.

QOL outcome measures were longitudinal in nature and were analyzed using the generalized estimation equations (GEE) to perform univariate and multivariate regression analysis in order to identify factors associated with changes in QOL over time.

These differences were compared before and after the training (i.e., the first and final evaluations) using the generalized estimation equation with a binomial distribution and a logit liaison function; for the models that yielded statistical significance, the analysis was supplemented by Bonferroni multiple comparisons to identify which evaluations (1st, 2nd and 3rd) displayed differences.

We used the generalized estimation equation (GEE) model to further examine the exposure effect during the 72-hr observation period.

Consistent with our prior approach (Just et al. 2012a), relative risks were estimated using Poisson regression with robust standard error estimation using the generalized estimating equations based method of Zou (2004) (see also Lovasi et al. 2012; Spiegelman and Hertzmark 2005).

Then, an advanced timing, relative timing indices, and the corresponding CIR estimates at the second stage are obtained using the generalized ML estimation based on a sliding observation vector.

Uncertainties of model parameters were estimated using the generalized likelihood uncertainty estimation (GLUE) method and were found to be acceptable.

Then, relative timing indices and the corresponding CIR estimates of all transmit receive links at the second stage are obtained using the generalized maximum-likelihood estimation based on a sliding observation vector.

Multiple linear regression models with errors that were correlated or had unequal variances were fitted using the generalized least squares and maximum likelihood estimation.