Add to ORKGAs a function of time t, mean residual life is the remaining life expectancy of a subject given survival up to t. The proportional mean residual life model, proposed by Oakes & Dasu (1990), provides an alternative to the Cox proportional hazards model to study the association between survival times and covariates. In the presence of censoring, we develop semiparametric inference procedures for the regression coefficients of the Oakes-Dasu model using martingale theory for counting processes. We also present simulation studies and an application to the Veterans\u27 Administration lung cancer data
In survival analysis, the lifetime under study is not always observed. In certain applications, for ...
For randomly censored data, the residual life function at a given time determines a life distributio...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...
Life expectancy, i.e., mean residual life function, has been of important practical and scientific i...
The mean residual life (MRL) function provides a clear and simple summary of the effect of a treatm...
As a function of time t, mean residual life (MRL) is the remaining life expectancy of a subject give...
With survival data there is often interest not only in the survival time distribution but also in th...
With survival data there is often interest not only in the survival time distribution but also in th...
Mean residual life function, or life expectancy, is an important function to characterize distributi...
In the analysis of time-to-event data, the median residual life (MERL) function has been promoted by...
For randomly censored data, the authors propose a general class of semiparametric median residual li...
In the statistical literature, life expectancy is usually characterised by the mean residual life fu...
Semiparametric transformation models provide a very general framework for studying the effects of (p...
We develop diagnostic tools for use with proportional hazards models for interval-censored survival ...
xiii, 149 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P AMA 2005 ZhaoSurvival anal...
In survival analysis, the lifetime under study is not always observed. In certain applications, for ...
For randomly censored data, the residual life function at a given time determines a life distributio...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...
Life expectancy, i.e., mean residual life function, has been of important practical and scientific i...
The mean residual life (MRL) function provides a clear and simple summary of the effect of a treatm...
As a function of time t, mean residual life (MRL) is the remaining life expectancy of a subject give...
With survival data there is often interest not only in the survival time distribution but also in th...
With survival data there is often interest not only in the survival time distribution but also in th...
Mean residual life function, or life expectancy, is an important function to characterize distributi...
In the analysis of time-to-event data, the median residual life (MERL) function has been promoted by...
For randomly censored data, the authors propose a general class of semiparametric median residual li...
In the statistical literature, life expectancy is usually characterised by the mean residual life fu...
Semiparametric transformation models provide a very general framework for studying the effects of (p...
We develop diagnostic tools for use with proportional hazards models for interval-censored survival ...
xiii, 149 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P AMA 2005 ZhaoSurvival anal...
In survival analysis, the lifetime under study is not always observed. In certain applications, for ...
For randomly censored data, the residual life function at a given time determines a life distributio...
Statistical modeling of lifetime data, or survival analysis, is studied in many fields, including me...