Interval censoring appears when the event of interest is only known to have occurred
within a random time interval. Estimation and hypothesis testing procedures
for interval-censored data are surveyed. We distinguish between frequentist
and Bayesian approaches. Computational aspects for every proposed method
are described and ...»»»»
Interval censoring appears when the event of interest is only known to have occurred
within a random time interval. Estimation and hypothesis testing procedures
for interval-censored data are surveyed. We distinguish between frequentist
and Bayesian approaches. Computational aspects for every proposed method
are described and solutions with S-Plus, whenever are feasible, are mentioned.
Three real data sets are analyzed.^^^^
Tipo de documento:
Artículo
Indexación:
Indexat a SCOPUS
Indexat a WOS/JCR
Derechos:
(c) Springer (The original publication is available at www.springerlink.com)
Tots els drets reservats
Citación Bibliográfica:
Gomez, G., Calle Rosingana, M. L., & Oller Piquer, R. (2004). Frequentist and bayesian approaches for interval-censored data. Statistical Papers, 45(2), 139-173.