A new class of bivariate survival distributions is constructed from a given family of survival distributions. The properties of these distributions are analyzed. It is shown that the same bivariate survival function can be derived using two radically different concepts: one involves transformation of the well-known bivariate survival function; the other involves correlated stochastic hazards. The new conditions that guarantee negative associations of life spans are derived. An exponential representation of the survival function for two related individuals is derived in terms of the conditional distribution of the stochastic hazards among survivors. Versions of the multivariate correlated gamma-frailty model are investigated.correlated hazar...
this paper, we describe Bayesian modeling of dependent multivariate survival data using positive sta...
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
A mixture model in multivariate survival analysis is presented, whereby heterogeneity among subjects...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
A Bivariate survival model is constructed.This model is based on a frailty model that acts multiplic...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
In this paper, a new class of survival distributions based on the model of dependent lives and propo...
Freund [1961] introduced a bivariate extension of the exponential distribution that provides a model...
AbstractA general approach for the development of multivariate survival models, based on a set of gi...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
A univariate logistic distribution can be specified by considering a suitable form for the odds in f...
Frequently in the analysis of survival data, survival times within the same group are correlated due...
A new class of bivariate distributions (NBD) was recently introduced by Sarhan and Balakrishnan [A.M...
this paper, we describe Bayesian modeling of dependent multivariate survival data using positive sta...
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
A mixture model in multivariate survival analysis is presented, whereby heterogeneity among subjects...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
A Bivariate survival model is constructed.This model is based on a frailty model that acts multiplic...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
In this paper, a new class of survival distributions based on the model of dependent lives and propo...
Freund [1961] introduced a bivariate extension of the exponential distribution that provides a model...
AbstractA general approach for the development of multivariate survival models, based on a set of gi...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
A univariate logistic distribution can be specified by considering a suitable form for the odds in f...
Frequently in the analysis of survival data, survival times within the same group are correlated due...
A new class of bivariate distributions (NBD) was recently introduced by Sarhan and Balakrishnan [A.M...
this paper, we describe Bayesian modeling of dependent multivariate survival data using positive sta...
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
A mixture model in multivariate survival analysis is presented, whereby heterogeneity among subjects...