Analysis of recurrent event data with incomplete observation gaps.
Stat Med
; 27(7): 1075-85, 2008 Mar 30.
Article
em En
| MEDLINE
| ID: mdl-17611955
ABSTRACT
In analysis of recurrent event data, recurrent events are not completely experienced when the terminating event occurs before the end of a study. To make valid inference of recurrent events, several methods have been suggested for accommodating the terminating event (Statist. Med. 1997; 16911-924; Biometrics 2000; 56554-562). In this paper, our interest is to consider a particular situation, where intermittent dropouts result in observation gaps during which no recurrent events are observed. In this situation, risk status varies over time and the usual definition of risk variable is not applicable. In particular, we consider the case when information on the observation gap is incomplete, that is, the starting time of intermittent dropout is known but the terminating time is not available. This incomplete information is modeled in terms of an interval-censored mechanism. Our proposed method is applied to the study of the Young Traffic Offenders Program on conviction rates, wherein a certain proportion of subjects experienced suspensions with intermittent dropouts during the study.
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Base de dados:
MEDLINE
Assunto principal:
Pacientes Desistentes do Tratamento
/
Interpretação Estatística de Dados
/
Estudos Longitudinais
/
Observação
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adolescent
/
Humans
País como assunto:
America do norte
Idioma:
En
Ano de publicação:
2008
Tipo de documento:
Article