[Forum SIS] avviso di seminario - M. Alfo', Universita' di Roma La Sapienza

[Maria Giovanna Ranalli]

.: Marco Alfo', Dipartimento di Statistica, Probabilita' e Statistiche  
Applicate, Universita' di Roma, La Sapienza :.

Venerdi 15 Ottobre, ore 12, Aula 201
Università degli Studi di Perugia, Dipartimento di Economia, Finanza e  
Statistica

.: Modeling longitudinal binary responses subject to non-ignorable  
attrition :.

Abstract:
Longitudinal studies collect information on a sample of individuals  
which is followed over time to analyze the effects of individual and  
time-dependent characteristics on the observed response. These studies  
often suffer from attrition: individuals drop out of the study before  
its completion time and thus present incomplete data records. When the  
missing mechanism, once conditioned on other (observed) variables,  
does not depend on current (eventually unobserved) values of the  
response variable, the dropout mechanism is known to be ignorable. We  
discuss pattern and selection models extending standard semiparametric  
variance component models for longitudinal binary responses to allow  
for dependence between the missing data mechanism and the primary  
response process. Furthermore, we introduce some quite recent approach  
based on hidden (latent) Markov modeling and on measures representing  
sensitivity of model parameters to non ignorability.


cordiali saluti


M. Giovanna Ranalli

~ Dipartimento di Economia, Finanza e Statistica
~ Sezione di Statistica
~ Via Pascoli
~ Universita' degli Studi di Perugia
~ 06123 Perugia - Italy

~ Tel +39 075 5855939
~ Fax +39 075 5855950
~ url: www.stat.unipg.it/~giovanna

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