AbstractA general model involving k competing risks is studied and the hazard rates of these risks are simultaneously estimated. The estimators are strongly approximated by Gaussian processes and the limiting distribution of certain statistics are obtained
We study nonparametric estimation for current status data with competing risks. Our main interest is...
Competing risk or "multiple cause" survival data arise in medical, criminological, financial, engine...
Here we consider a competing risks model where the two risks of interest are not independent. The de...
AbstractA general model involving k competing risks is studied and the hazard rates of these risks a...
Parametric estimation of cause-specific hazard functions in a competing risks model is considered. A...
A class of asymptotically distribution-free tests for the equality of the k risks in a competing ris...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
AbstractThis paper is intended as an investigation of estimating cause-specific cumulative hazard an...
In this note we show as the nonparametric maximum likelihood estimator of the crude incidence of a c...
This paper is intended as an investigation of estimating cause-specific cumulative hazard and cumula...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
We consider the competing risks model with grouped data or with discrete Failure times where a unit ...
Competing risks are frequently overlooked, and the event of interest is analyzed with conventional s...
This empirical analysis of multiple durations using multivariate mixed proportional hazard rate mode...
AbstractStochastic discounting models have been proved very important for decision making under cond...
We study nonparametric estimation for current status data with competing risks. Our main interest is...
Competing risk or "multiple cause" survival data arise in medical, criminological, financial, engine...
Here we consider a competing risks model where the two risks of interest are not independent. The de...
AbstractA general model involving k competing risks is studied and the hazard rates of these risks a...
Parametric estimation of cause-specific hazard functions in a competing risks model is considered. A...
A class of asymptotically distribution-free tests for the equality of the k risks in a competing ris...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
AbstractThis paper is intended as an investigation of estimating cause-specific cumulative hazard an...
In this note we show as the nonparametric maximum likelihood estimator of the crude incidence of a c...
This paper is intended as an investigation of estimating cause-specific cumulative hazard and cumula...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
We consider the competing risks model with grouped data or with discrete Failure times where a unit ...
Competing risks are frequently overlooked, and the event of interest is analyzed with conventional s...
This empirical analysis of multiple durations using multivariate mixed proportional hazard rate mode...
AbstractStochastic discounting models have been proved very important for decision making under cond...
We study nonparametric estimation for current status data with competing risks. Our main interest is...
Competing risk or "multiple cause" survival data arise in medical, criminological, financial, engine...
Here we consider a competing risks model where the two risks of interest are not independent. The de...
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