We reported covariate-adjusted relative risk ratios and estimated 95% confidence intervals using robust general estimating equation estimators of variance [ 21].
In general, estimating conditional class probabilities for various classification techniques is termed probability estimation [57] or class probability estimation in the literature [58, 59].
General estimating equations (GEEs) were used to model correlated data for the driving performance measures and sleepiness.
Changes in hymenal measurements over time were analyzed using the general estimating equation approach to repeated measures.
In order to test for important covariates (age, gender, hormonal contraception and smoking status) general estimating equation (GEE) models were calculated.
Statistical significance was assessed with segmented mixed general linear models, analysis of covariance, general estimating equations, χ2, and Fisher's exact procedure.
After controlling for clustering effects using general estimating equations (GEE), group differences in child maltreatment, placement stability, and permanence were modeled using linear and logistic regression.
In general, estimating H(X Q|Y Q) directly from (32), requires evaluating P(X Q,Y Q) L 2 times, where L = 2 q and q is the number of bits in the quantizer.
Logistic and linear regression models with general estimating equations (GEE) and an exchangeable correlation matrix were used to assess factors associated with detection and quantity of cervico-vaginal HIV-1 RNA, respectively.
To account for possible correlations of SOA, CPT-DS, WCST-Err, and LPS3 between members of a family, the data were subjected to General Estimating Equations (GEE), procedure genmode SAS 9.1.
General estimating equations were used to analyze the data.
