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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.
Comparisons between those two groups were made using the Generalized Estimating Equations (GEE) method.
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.
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This matching algorithm produced the least bias. 1 We then used the generalized estimating equation model to analyze the matched data.
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].
The GENMOD procedure uses the generalized estimating equations (GEE) method for fitting generalized linear models to handle correlated repeated measures data.
All regression analyses used the generalized estimating equations (GEE) technique to account for correlation from the clustering of multiple patient charts contributed by the same pulmonologist.
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