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We used a Brant test to determine whether this assumption holds.
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A Brant test prior to model estimation verifies the null hypothesis that the estimated coefficients in an ordered logit model satisfy the parallel odds assumption on the basis of their respective values and variances [21, 35].
In the current study, a Brant test was performed prior to model estimation in order to check the need for the generalized ordered logit model instead of the ordered logit model.
A Brant test of the proportional odds assumption was carried out on the final model [ 25].
The proportional odds assumption was assessed using the Brant test.
The equality of slopes among the levels of liver steatosis was checked using the Brant test.
These categories were chosen to fulfill the proportional odds assumption, which was verified using the Brant test.
We tested the proportional odds assumption (that the odds ratio comparing the group in poorest health to the middle group is of the same magnitude as the odds ratio comparing the middle group to the best possible health group) using the Brant test [ 15].
Here we used a chi-square test.
The parallel lines assumption as prerequisite to apply ordinal logistic regression was confirmed with Stata's gologit2 command and its autofit option with p-values using Brant tests for a single imputation [ 26].
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