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We followed the graphical procedure for checking goodness-of-fit for right-truncated data suggested by Lawless (2003) that is based on the non-parametric maximum likelihood estimator and consists in plotting the conditional fitted parametric survivals together with the non-parametric estimation [ 36].
The Hosmer-Lemeshow test was used to check goodness of fit.
The Hosmer-Lemeshow test [ 19] may also be used to formally check goodness of fit.
We performed a residual analysis using the deviance residuals to check goodness of fit.
The Hosmer-Lemeshow test was used to check goodness of model fitting.
The Hosmer Lemeshow test was used to check goodness-of-fit of the logistic regression.
The Hosmer-Lemeshow test was used to check goodness-of-fit of the logistic regression.
In the analyses, Hosmer-Lemeshow chi2 result was assessed to check goodness-of-fit of the models.
Hosmer-Lemeshow and -2 log likelihood tests were used to check goodness-of-fit of the final model.
Firstly, the appropriate distribution was determined from four possible distributions by checking its consistency with the fatigue physics and checking its fit goodness.
Due to issues of over-fitting with the c-statistic, we used AIC and BIC as secondary measures for additional checks to determine goodness of fit.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com