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Results should be interpreted with care as the multiple model failed the assumption of proportional hazards.
We assessed the proportional hazards assumption by using trend tests of the Schoenfeld residuals; those that failed the assumption or were deemed to be time dependent were entered as continuous time dependent covariates.
The proportional hazards assumption was assessed using the log(−log(survival)) plot, and those that failed the assumption or that were deemed to be time dependent were entered as continuous time-dependent covariates (Bradburn et al, 2003).
The proportional hazards assumption was assessed using trend-tests of the Schoenfeld residuals and those which failed the assumption or which were deemed to be time-dependent were entered as continuous time-dependent covariates (Bradburn et al, 2003).
Similar(56)
If the data failed the assumptions of normality or equal variance they were transformed (log10) to improve the distribution.
The continuous variable age was found to fail the assumption of linearity and was split into categories with 10 year intervals.
About 8% of the tests failed the first assumption and are invalid and unusable.
The t test was used for the comparison group analysis, but if the data failed the homogeneity assumption (Levene's test), a Mann Whitney test was undertaken.
Only when predictors failed the linearity assumption predictors were categorised into three groups.
Note that the variables which failed the PH assumption and were not modelled could contribute to the significance of this effect.
These three questions failed the data frequency assumptions necessary to run a chi-square test.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com