[[abstract]]Survival data with one intermediate state are described by semi-Markov and Markov models for counting processes whose intensities are defined in terms of two stopping times T-1 < T-2. Problems of goodness-of-fit for these models are studied. The test statistics are proposed by comparing Nelson-Aalen estimators for data stratified according to T1. Asymptotic distributions of these statistics are established in terms of the weak convergence of some random fields. Asymptotic consistency of these test statistics is also established. Simulation studies are included to indicate their numerical performance
Consider a subject entered on a clinicaltrial in which the major endpoint is a time metric such as d...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
In Malani and Neilsen (1992) we have proposed alternative estimates of survival function (for time t...
[[abstract]]Survival data with one intermediate state are described by semi-Markov and Markov models...
In the paper the semiparametric Markov process model is considered. This model describes the effect ...
Tests for parametric nonhomogeneous and homogeneous Markov processes are given. Asymptotic distribut...
Semi-Markov models are widely used for survival analysis and reliability analysis. In general, there...
Abstract: A counting process approach to multiple event times modeled by an Andersen-Gill-type exten...
International audienceThis work deals with the asymptotic properties of maximum likelihood estimator...
To check the validity of a parametric model for survival data, a number of supremum-type tests have ...
[[abstract]]A K-sample testing problem is studied for multivariate semi-Markov counting processes. A...
Markov models are a convenient and useful method of estimating transition rates between levels of a ...
The development of statistical inference procedures for semi- Markov processes seems to be rather sc...
1. Semi-Markov models explicitly define the distribution of waiting time duration and have been used...
This dissertation investigates statistical tests for comparing two or more independent Markov Renewa...
Consider a subject entered on a clinicaltrial in which the major endpoint is a time metric such as d...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
In Malani and Neilsen (1992) we have proposed alternative estimates of survival function (for time t...
[[abstract]]Survival data with one intermediate state are described by semi-Markov and Markov models...
In the paper the semiparametric Markov process model is considered. This model describes the effect ...
Tests for parametric nonhomogeneous and homogeneous Markov processes are given. Asymptotic distribut...
Semi-Markov models are widely used for survival analysis and reliability analysis. In general, there...
Abstract: A counting process approach to multiple event times modeled by an Andersen-Gill-type exten...
International audienceThis work deals with the asymptotic properties of maximum likelihood estimator...
To check the validity of a parametric model for survival data, a number of supremum-type tests have ...
[[abstract]]A K-sample testing problem is studied for multivariate semi-Markov counting processes. A...
Markov models are a convenient and useful method of estimating transition rates between levels of a ...
The development of statistical inference procedures for semi- Markov processes seems to be rather sc...
1. Semi-Markov models explicitly define the distribution of waiting time duration and have been used...
This dissertation investigates statistical tests for comparing two or more independent Markov Renewa...
Consider a subject entered on a clinicaltrial in which the major endpoint is a time metric such as d...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
In Malani and Neilsen (1992) we have proposed alternative estimates of survival function (for time t...