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annuncio seminario
- To: sis@stat.unipg.it
- Subject: annuncio seminario
- From: Elena Stanghellini <stanghel>
- Date: Thu, 23 May 2002 14:40:31 +0200 (DFT)
- Reply-To: Elena Stanghellini <stanghel>
- Sender: owner-sis@stat.unipg.it
Seminari del Dipartimento di Scienze Statistiche, Universita' di Perugia.
Prof. Mounir Mesbah, Direttore del centro SABRES, Università di Vannes
Bretagne
Venerdi' 31 maggio 2002 alle ore 15:00, Aula Interna del Dipartimento
Titolo: Joint modeling of a longitudinal latent Quality of Life Variable and
Event Time Mounir Mesbah
Abstract:
A major problem that frequently arises in longitudinal clinical trials where
Quality of Life (QoL) questionnaires are repeatedly assessed by each individual
under study, is that of dropouts. In some settings, dropouts may depend on
missing components of the longitudinal process. Dropouts is then termed
nonignorable. Recently, several approaches have been proposed that accommodate
nonignorable dropouts in the modeling of a longitudinal process. However,
these approaches rest upon the assumption that dropouts can only occur at one
of the pre-specified measurement times of quality of life. In this paper,
we propose a joint model for the longitudinal latent QoL variable with
nonignorable dropouts and time to dropout. We obtain parameter estimates in
this model using nonparametric maximum likelihood estimation. We prove that our
model is identifiable and that the estimations are consistent and normally
distributed. Finally a Goodness of Fit test for this model is proposed.
This method is valid when Quality of Life data is just an observed
continuous univariate score, but in practice Quality of Life data generally
consist in a multivariate dichotomous or polychotomous observed variable used
to measure a latent unobserved variable (the Quality of Life). We propose a
general way to deal with this kind of data, using a joint modeling of
measurement of QoL by Rasch Model, Time to dropout by Cox Model and
Longitudinal process subject to dropout by an AR(1).
References:
Dupuy J.-F. et Mesbah M. (2002), Joint Modelling of Event Time and Nonignorable
Missing Longitudinal Data, Lifetime Data Analysis. Juin 2002
Jean-François Dupuy, Ion Grama et Mounir Mesbah (2002) Asymptotic theory
for the Cox model with missing time-dependent covariate Technical Report
UBS-SABRES/RR--2002-02--FR Mars 2002
Mohand-Larbi Feddag, Ion Grama et Mounir Mesbah (2002) Generalized Estimating
Equations (GEE) for mixed logistic models. Technical Report
UBS-SABRES/RR--2002-03--FR Mars 2002 Submitted
Sneh Gulati, Jean-François Dupuy et Mounir Mesbah (2002) Goodness of fit
of a joint model for event time and nonignorable missing longitudinal
quality of life data. Technical Report.
UBS-SABRES/RR--2002-04--FR Avril 2002
Per informazioni:
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Elena Stanghellini
Dipartimento di Scienze Statistiche
Via A. Pascoli - C.P. 1315 Succ. 1
06100 Perugia (Italy)
Tel +39 075 5855229 or 5855242
Fax +39 075 43242
email: stanghel@stat.unipg.it
home page: http://www.stat.unipg.it/DSS/elena.html
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