Bayesian Analysis and Model Selection for IntervalâCensored Survival Data
1999
Sinha, Debajyoti | Chen, MingâHui | Ghosh, Sujit K.
Intervalâcensored 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 samplingâbased methods. The scope of these methodologies is illustrated through a reanalysis of a breast cancer data set (Finkelstein, 1986, Biometrics42, 845â854) to test whether the effect of covariate on survival changes over time.
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