On estimation of covariate-specific residual time quantiles under the proportional hazards model.
Lifetime Data Anal
; 22(2): 299-319, 2016 Apr.
Article
em En
| MEDLINE
| ID: mdl-26058825
ABSTRACT
Estimation and inference in time-to-event analysis typically focus on hazard functions and their ratios under the Cox proportional hazards model. These hazard functions, while popular in the statistical literature, are not always easily or intuitively communicated in clinical practice, such as in the settings of patient counseling or resource planning. Expressing and comparing quantiles of event times may allow for easier understanding. In this article we focus on residual time, i.e., the remaining time-to-event at an arbitrary time t given that the event has yet to occur by t. In particular, we develop estimation and inference procedures for covariate-specific quantiles of the residual time under the Cox model. Our methods and theory are assessed by simulations, and demonstrated in analysis of two real data sets.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Modelos de Riscos Proporcionais
Tipo de estudo:
Clinical_trials
/
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Infant
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Newborn
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Pregnancy
Idioma:
En
Revista:
Lifetime Data Anal
Ano de publicação:
2016
Tipo de documento:
Article
País de afiliação:
Estados Unidos