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The Andersen-Gill model is appropriate to implement for our data as long as it is supplemented by also modeling the hazard of death.
Hence, modeling the hazard function of competing interventions with fractional polynomials provides a general framework that includes some of the commonly used parametric survival functions and does not rely on the constant hazard ratio assumption.
In a sensitivity analysis modeling the hazard of incident ESRD- or renal disease related death, we noted no change in our findings, with the period effect still attenuated by HbA1c and blood pressure.
To address possible missed cases that could have resulted from individuals who developed ESRD after their last WESDR follow-up visit, we completed sensitivity analyses modeling the hazard of incident ESRD or death due to renal disease.
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As it is not based on lava flow modelling, the hazard layer ignores effects of lava flow/water interactions, lava flow rheology, and finer scale topographic influences.
The Cox-proportional hazard model is a more general and the most commonly used model in modelling the hazard and survival function.
In this study we compared two nested Cox- proportional hazard models to model the hazard of all-cause and prostate cancer-specific mortality.
Biganzoli et al (1998) and others have modelled the hazard functions directly, in a promising attempt to extend this method.
Gompertz regression was also used to model the hazard of death following a first event (equation 2 in figure 1).
As we have mentioned, two approaches can be used when competing risks are present: modelling the cause-specific hazard and modelling the hazard of the subdistribution (taking into account the competing risks).
This lag time of 6 months was based on modelling the hazard after inclusion in the cohort using a restricted cubic spline model (Torner et al, 2011).
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