Add to ORKGThis paper presents new identifiability conditions for the Cox proportional hazard model for duration data when unobserved person specific variables are present. We compare our conditions with those presented by Elbers and Ridder. We also present identifiability conditions for a rich class of parametric hazard models without regressor variables. 1
In this dissertation I study different versions of the semiparametric proportional hazard duration m...
Hazard rate models are widely used to model duration data in a wide range of disciplines, from bio-s...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...
This note presents identication results for the mixed proportional hazards model when duration data ...
Lancaster and Nickell (1980) have argued that in proportional hazard models the effects of time depe...
Abstract: Econometric duration data are typically interval-censored, that is, not directly observed...
In recent years political scientists have increasingly adopted a wide range of techniques for modeli...
We prove identification of dependent competing risks models in which each risk has a mixed proportio...
We prove identification of dependent competing risks models in which each risk has a mixed proportio...
The Cox proportional hazards regression model has been widely used in the analysis of survival/durat...
Cox proportional hazard model is one of the most common methods used in time to event analysis. The ...
The intuitively attractive additive hazards model is compared with the proportional hazards and acce...
Parametric and nonparametric duration models assume proportional hazard: the effect of a covariate o...
We prove identification of dependent competing risks models in whicheach risk has a mixed proportion...
The mixed proportional hazards model generalizes the Cox model by incorporating a random effect. In ...
In this dissertation I study different versions of the semiparametric proportional hazard duration m...
Hazard rate models are widely used to model duration data in a wide range of disciplines, from bio-s...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...
This note presents identication results for the mixed proportional hazards model when duration data ...
Lancaster and Nickell (1980) have argued that in proportional hazard models the effects of time depe...
Abstract: Econometric duration data are typically interval-censored, that is, not directly observed...
In recent years political scientists have increasingly adopted a wide range of techniques for modeli...
We prove identification of dependent competing risks models in which each risk has a mixed proportio...
We prove identification of dependent competing risks models in which each risk has a mixed proportio...
The Cox proportional hazards regression model has been widely used in the analysis of survival/durat...
Cox proportional hazard model is one of the most common methods used in time to event analysis. The ...
The intuitively attractive additive hazards model is compared with the proportional hazards and acce...
Parametric and nonparametric duration models assume proportional hazard: the effect of a covariate o...
We prove identification of dependent competing risks models in whicheach risk has a mixed proportion...
The mixed proportional hazards model generalizes the Cox model by incorporating a random effect. In ...
In this dissertation I study different versions of the semiparametric proportional hazard duration m...
Hazard rate models are widely used to model duration data in a wide range of disciplines, from bio-s...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...