Bordes, Laurent, Dauxois, Jean-Yves, Joly, Pierre
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate competing risks model with censoring and failure cause possibly missing completely at random....
Bordes, Laurent, Dauxois, Jean-Yves, Joly, Pierre
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate competing risks model with censoring and failure cause possibly missing completely at random....
A bayesian choice between poisson, binomial and negative binomial models (2006)
Dauxois, Jean-Yves, Druilhet, Pierre, Pommeret, Denys
In this paper, we propose a Bayesian method for modelling count data by Poisson, binomial or negative binomial distributions. These three distributions have in common that the variance is, at most, a...
Gleizes, Pierre-Emmanuel, Noaillac-Depeyre, Jacqueline, Léger-Silvestre, Isabelle, Teulières, Frédéric, Dauxois, Jean-Yves, Pommet, Denys, ...
To study the nuclear export of preribosomes, ribosomal RNAs were detected by in situ hybridization using fluorescence and EM, in the yeast Saccharomyces cerevisiae. In wild-type cells,...
A bayesian choice between poisson, binomial and negative binomial models
Jean-Yves Dauxois, Pierre Druilhet, Denys Pommeret
Jeffreys-Lindley paradox, natural exponential family, overdispersion, Sibship data, variance function, 62C12,
Testing the proportional odds model under random censoring
In practical applications, it is not uncommon for the hazard functions of two groups to converge with time. One approach that allows for converging hazard functions is the proportional odds model. We...
Testing the Koziol-Green model against monotone conditional odds for censoring
A notion of conditional odds for censoring is introduced to study the pattern of censoring in randomly right censored data. This notion is used to formulate meaningful alternatives in order to test...
Testing relative risk under random censoring
We consider the problem of testing H0 : F1=F2 on the basis of two independent random samples of randomly right censored survival times. Tests for H0 are developed when the alternatives of primary...
Nonparametric inference under competing risks and selection-biased sampling
Dauxois, Jean-Yves, Guilloux, Agathe
The aim of this paper is to carry out statistical inference in a competing risks setup when only selection-biased observation of the data of interest is available. We introduce estimators of the...
Estimating the Cumulative incidence Functions under Length-biased Sampling
Jean-Yves Dauxois ; Agathe Guilloux
optimal matching
optimal matching
Non-parametric Tests for Recurrent Events under Competing Risks
JEAN-YVES DAUXOIS, SOPHIE SENCEY
We consider a data set on nosocomial infections of patients hospitalized in a French intensive care facility. Patients may suffer from recurrent infections of different types and they also have a...