rvbe: The package contains the data and program files in MATLAB used for the example in the paper: Modelling exponential survival data with dependent censoring. An absolutely continuous bivariate model is proposed for modelling survival data with random censoring where the censoring pattern (or scheme) and the failure pattern are not statistically independent. The failure and the censoring distributions are considered to be exponential with different means. The identifiability of the model is established, and the asymptotic normality of the maximum likelihood estimator of the parameters is proved. A simulation study is performed in support of the asymptotic normality. A practical data set is considered for the purpose of fitting the model of the data.
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References in zbMATH (referenced in 2 articles , 1 standard article )
Showing results 1 to 2 of 2.
- Wang, Antai: On the nonidentifiability property of Archimedean copula models under dependent censoring (2012)
- Bhattacharyya, Amit: Modelling exponential survival data with dependent censoring (1997)