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).
Additional file 3 summarizes the results from the multivariable model to assess the relationship between non-malignant respiratory diseases and mental health adjusting for important covariates: demographic, socio-economic, social-support, lifestyle, self-perceived general health status and time (cycle) and the effects of interactions using the generalized estimating equations approach.
Because the time CBCT was performed 2.5 years the surgery varied, analysis was performed using the generalized estimating equation (GEE).
Data were analyzed using the generalized estimating equation (GEE) and p-values less than 5% were considered statistically significant.
A 1-way, repeated-measures analysis of variance using the generalized estimating equation approach was used to evaluate differences from T1 to T2 and from T1 to T3 for all outcome measures.
Zhang and Ahn (2012) derived a closed-form sample size formula for two-sample comparisons of time-averaged responses using the generalized estimating equation (GEE) approach, which takes into account different correlation structures and missing data patterns.
Given that our dependent variable, CHRO presence, is binary, and that we repeatedly observed the same organizations over a 10-year period, we used the generalized estimating equations (GEE) approach of Zeger and Liang (1986a, b) to handle autocorrelations.
To account for evolutionary history in assessing trait correlations, we used the generalized estimating equations as implemented in APE [16], [17].
All statistical models were constructed in SAS, version 9.1 using the generalized estimating equations approach (GEE), which allows taking into account the correlation between sisters within a twin pair.
Logistic regression analyses investigating the effects of parental wealth class on marriage probability and the effects of marital wealth class on offspring survival were conducted by fitting the models using the generalized estimating equations (GEEs) with binomial errors and logit-link function and maternal family line as a random factor [52] [53].
