Geodesic
A semiparametric model for interval censored and truncated data
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 14–1, Tome 363 (2009), pp. 139-150 
C. Huber; F. Vonta. A semiparametric model for interval censored and truncated data. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 14–1, Tome 363 (2009), pp. 139-150. http://geodesic.mathdoc.fr/item/ZNSL_2009_363_a7/
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     title = {A semiparametric model for interval censored and truncated data},
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     url = {http://geodesic.mathdoc.fr/item/ZNSL_2009_363_a7/}
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Voir la notice du chapitre de livre provenant de la source Math-Net.Ru

In this work we consider a complex observational scheme, that is, survival data that are both interval censored and truncated. We assume a semiparametric Cox model for the survival function and consider censoring and truncation distributions as in Huber, Solev and Vonta (2006, 2007). We establish the form of the least favorable model (Slud and Vonta (2005)) for the cumulative hazard function, which plays the role of the infinite-dimensional nuisance parameter, for fixed values of the finite-dimensional parameter of interest. The least favorable model cannot be defined in closed form. Bibl. – 8 titles.

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[4] C. Huber-Carol, V. Solev, F. Vonta, “Estimation of density for arbitrarily censored and truncated data”, Probability, Statistics and Modelling in Public Health, eds. Nikulin M. S., Commenges D., Huber-Carol C., Springer, Kluwer Acad. Publ., New York, 2007, 246–265 | MR

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