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Frequentist and Bayesian approaches for interval-censored data |
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| Authors: | Guadalupe Gómez M. Luz Calle Ramon Oller |
| Affiliation: | (1) Department d'Estadística, Universitat Politècnica de Catalunya, Pau Gargallo 5, 08028 Barcelona, Spain;(2) Department d'Informàtica i Matemàtica, Universitat de Vic, Sagrada Familia 7, 08500 Vic, Spain;(3) Department de Matemàtica i Informàtica, Universitat de Vic, Sagrada Familia 7, 08500 Vic, Spain |
| Abstract: | 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. |
| Keywords: | AIDS Bayesian inference Hypothesis testing Interval censoring Nonparametric methods Permutational tests |
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