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Exact(2)
In addition, trying to use multiple failure times is inappropriate since events within individuals may be correlated.
Due to the frequency of multiple failure times or recurrent event duration data in clinical and epidemiologic studies, the multiplicative and additive hazards models are widely applicable and present different information.
Similar(58)
If the failure modes are dependent the respective dependence functions or at least upper and lower bounds of the respective multiple failure time probability density functions can be estimated.
If the dependencies cannot be estimated, then upper and lower bounds of the respective multiple failure time probability density functions can be estimated and interval analysis can be used.
In addition, there is relatively little information in the literature on the goodness-of-fit for multiple failure time models.
Adjusted time-to-event hazard rates for hospital, mental health, alcohol and other drug and subsequent primary care physician service utilisations assessed as multiple failure time-interval data.
We carried out a series of simulations to examine the accuracy of the above multiple failure time models in terms of four factors: different sample sizes, censoring levels, numbers of recurrence events and correlation levels.
A multivariate Andersen-Gill extension of a Cox proportional hazards model 38 was fitted utilising robust SEs for use with multiple failure time-interval data and interval-truncation (eg, for periods of reincarceration).
Therefore, we did not employ multiple failure-time data in the survival analyses.
Analysis of time to onset of action using the multiple failures time model showed superiority of fluticasone/formoterol over fluticasone/salmeterol (hazard ratio: 1.64; 95% CI: 1.28, 2.10; p < 0.001; FAS; see Figure 3 as an example of this effect).
We study multiple failure types (related to failing components) with exponentially distributed inter-failure times.
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