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In our modelling we assumed a working independence correlation structure, not an unstructured correlation structure.
A working independence correlation structure was assumed when fitting the model so that the final parameter estimates for each model agree with the corresponding logistic regression.
The linear regression models were fitted by using data from both the primary and reliability measures of intake and biomarkers, and coefficients were determined by using generalized estimating equations with a working independence assumption.
Generalised estimating equation models with logit link and working independence correlation structure were also used to estimate sensitivity, taking into account the correlation among the multiple pleural plaques and pulmonary nodules for the same patient.
In this study, a generalized linear model with a normal distribution and identity link function was used to assess the treatment effect at the HBV DNA level, and the generalized estimating equations (with working independence correlations and empirical robust SEs) was used to assess the change in the HBV DNA level within patients over time.
Parameters were first estimated by using ordinary logistic regression, ignoring correlations between different hospitalization periods for a single patient (under "working independence").
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