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The use of tests of significance is no longer acceptable as means to compare baseline similarity between treatment groups and in determining which covariate(s) should be included in the model for adjustment.
Selected co- variables are included in the model for adjustment.
A univariate analysis was carried out and gender and income variables were not significant, but were forced to remain in the model for adjustment.
Independent variables which significantly associated (P < 0.05) to the dependent variable in simple regression models were exported to a multiple regression model for adjustment.
The multivariate GEE model was constructed using backward selection procedure, wherein variables that did not improve model fit at P < 0.05 were discarded, but age of physicians was always forced into the model for adjustment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com