This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional hazards, and accelerated failure time models. It is shown that covariate effects on latent failure times, cause-specific link functions, and the joint survivor function of the disturbance terms can be identified without relying on modelling the dependence between latent failure times parametrically nor using an exclusion restriction among covariates. As a result, the paper provides an identification result on the joint survivor function of the latent failure times conditional on covariates
Summary. In competing risks data, missing failure types (causes) is a very common phenomenon. In a g...
We present a Bayesian approach for analysis of competing risks survival data with masked causes of f...
We present a new framework for the identification of competing risks models, which also include Roy ...
We provide new conditions for identification of accelerated failure time competing risks models. The...
The theory of competing risks has been developed to asses a specific risk in presence of other risk ...
A fundamental problem with the latent-time framework in competing risks is the lack of identifiabili...
SUMMARY. This research develops methods which bring together models for multivari-ate failure time d...
AbstractIn competing risks model, several failure times arise potentially. The smallest failure time...
We provide new conditions for identification of accelerated failure time competing risks models. The...
In survival analysis or medical studies each person can be exposed to more than one type of outcomes...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
Time-dependent covariates are frequently encountered in regression analysis for event history data a...
The thesis concerns regression models related to the competing risks setting in survival analysis an...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
In the analysis of multivariate failure-time data, the effect of a treatment or an exposure on the h...
Summary. In competing risks data, missing failure types (causes) is a very common phenomenon. In a g...
We present a Bayesian approach for analysis of competing risks survival data with masked causes of f...
We present a new framework for the identification of competing risks models, which also include Roy ...
We provide new conditions for identification of accelerated failure time competing risks models. The...
The theory of competing risks has been developed to asses a specific risk in presence of other risk ...
A fundamental problem with the latent-time framework in competing risks is the lack of identifiabili...
SUMMARY. This research develops methods which bring together models for multivari-ate failure time d...
AbstractIn competing risks model, several failure times arise potentially. The smallest failure time...
We provide new conditions for identification of accelerated failure time competing risks models. The...
In survival analysis or medical studies each person can be exposed to more than one type of outcomes...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
Time-dependent covariates are frequently encountered in regression analysis for event history data a...
The thesis concerns regression models related to the competing risks setting in survival analysis an...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
In the analysis of multivariate failure-time data, the effect of a treatment or an exposure on the h...
Summary. In competing risks data, missing failure types (causes) is a very common phenomenon. In a g...
We present a Bayesian approach for analysis of competing risks survival data with masked causes of f...
We present a new framework for the identification of competing risks models, which also include Roy ...