Simultaneous Bayesian modeling of longitudinal and survival data in breast cancer patients

Ali Azarbar, Yu Wang and Saralees Nadarajah

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 2, 400-414

Abstract: Using simultaneous Bayesian modeling, an attempt is made to analyze data on the size of lymphedema occurring in the arms of breast cancer patients after breast cancer surgery (as the longitudinal data) and the time interval for disease progression (as the time-to-event occurrence). A model based on a multivariate skew t distribution is shown to provide the best fit. This outcome was confirmed by simulation studies too.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:50:y:2021:i:2:p:400-414

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DOI: 10.1080/03610926.2019.1635701

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