In clinical trials, it may be of interest taking into account physical and emotional well-being in addition to survival when comparing treatments. Quality-adjusted survival time has the advantage of incorporating information about both survival time and quality-of-life. In this paper, we discuss the estimation of the expected value of the quality-adjusted survival, based on multistate models for the sojourn times in health states. Semiparametric and parametric (with exponential distribution) approaches are considered. A simulation study is presented to evaluate the performance of the proposed estimator and the jackknife resampling method is used to compute bias and variance of the estimator. (C) 2007 Elsevier B.V. All rights reserved
In this research we develop generalized linear regression models for the mean of a quality-of-life-a...
This article describes methods used to estimate parameters governing long-term survival, or times to...
Clinical trials are often concerned with the evaluation of two or more time-dependent stochastic eve...
In clinical trials, it may be of interest taking into account physical and emotional well-being in a...
We discuss the estimation of the expected value of the quality-adjusted survival, based on multistat...
Statistical methods are developed which assess survival data for two attributes; (1) prolongation of...
Statistical methods are developed which assess survival data for two attributes; (1) prolongation of...
One way of examining trade-offs between quantity and quality of life (QOL) is to combine them into a...
Regression models for the mean quality-adjusted survival time are specified from hazard functions of...
We use a multipath (multistate) model to describe data with multiple end points. Statistical inferen...
The expected quality-adjusted survival (QAS) for an index population with a specific disease can be ...
The aim of the thesis is to critically review, apply and where appropriate develop statistical metho...
Background and objective: There is increasing interest in multi-state modelling of health-related st...
Although semi- and non-parametric approaches are frequently used to analyse survival data, there are...
Multistate models are increasingly being used to model complex disease profiles. By modelling transi...
In this research we develop generalized linear regression models for the mean of a quality-of-life-a...
This article describes methods used to estimate parameters governing long-term survival, or times to...
Clinical trials are often concerned with the evaluation of two or more time-dependent stochastic eve...
In clinical trials, it may be of interest taking into account physical and emotional well-being in a...
We discuss the estimation of the expected value of the quality-adjusted survival, based on multistat...
Statistical methods are developed which assess survival data for two attributes; (1) prolongation of...
Statistical methods are developed which assess survival data for two attributes; (1) prolongation of...
One way of examining trade-offs between quantity and quality of life (QOL) is to combine them into a...
Regression models for the mean quality-adjusted survival time are specified from hazard functions of...
We use a multipath (multistate) model to describe data with multiple end points. Statistical inferen...
The expected quality-adjusted survival (QAS) for an index population with a specific disease can be ...
The aim of the thesis is to critically review, apply and where appropriate develop statistical metho...
Background and objective: There is increasing interest in multi-state modelling of health-related st...
Although semi- and non-parametric approaches are frequently used to analyse survival data, there are...
Multistate models are increasingly being used to model complex disease profiles. By modelling transi...
In this research we develop generalized linear regression models for the mean of a quality-of-life-a...
This article describes methods used to estimate parameters governing long-term survival, or times to...
Clinical trials are often concerned with the evaluation of two or more time-dependent stochastic eve...