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Bayesian analysis and model selection for interval-censored survival data. (English) Zbl 1059.62715

Summary: Interval-censored data occur in survival analysis when the survival time of each patient is only known to be within an interval and these censoring intervals differ from patient to patient. For such data, we present some Bayesian discretized semiparametric models, incorporating proportional and nonproportional hazards structures, along with associated statistical analyses and tools for model selection using sampling-based methods. The scope of these methodologies is illustrated through a reanalysis of a breast cancer data set [D. M. Finkelstein, Biometrics 42, 845–854 (1986; Zbl 0618.62097)] to test whether the effect of covariate on survival changes over time.

MSC:

62P10 Applications of statistics to biology and medical sciences; meta analysis
62F15 Bayesian inference
62N01 Censored data models

Citations:

Zbl 0618.62097
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References:

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