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COMPARISON OF SOJOURN TIMES AND TRANSITION INTENSITY APPROACHES FOR ESTIMATING SEMIMARKOV MULTISTATE MODELS USING COLORECTAL CANCER DATA
Keywords:
effective reproduction number, reliability, copula, IFM.DOI:
https://doi.org/10.17654/0972361722015Abstract
In cancer clinical trials, patients often experience local recurrence or distant metastasis prior to the outcome of interest, overall survival. It is often a matter of interest to know how different covariates affect the time to recurrence, time to death, and time to death after recurrence. We propose a semiMarkov multistate model to jointly model recurrence and death in colorectal cancer. In this study, we also compared two approaches sojourn time distribution and transition intensity approach for estimating semiMarkov models using colorectal cancer lifetime data. Here we considered the parametric distributions, namely, exponential, Weibull and exponentiated Weibull for sojourn time distribution approach. It is found that the exponentiated Weibull model provides better fit for colorectum cancer data without considering covariates. We can improve the Weibull model by including significant covariates for the colorectal cancer lifetime data in accordance with the Akaike information criterion (AIC).
Received: November 8, 2021
Accepted: January 7, 2022
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