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Estimation for semi-Markov models with partial observations via self-consistency equations 

Author: Odile Pons - Email: a
Affiliation:   a INRA, Matheacutematiques et Informatique Appliqueacutees, France
DOI: 10.1080/02331880600766688
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 40, Issue 5 October 2006 , pages 377 - 388
Formats available: HTML (English) : PDF (English)
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Abstract

Nonparametric estimators of the survival function S(t) = P(Tt) for a partially observed time variable T have been defined by several methods, in particular, by integral self-consistency equations. The author establishes explicit expressions of the estimators in an additive form and extend this approach to several cases: a left-truncated and right-censored variable and the left-censored or left-truncated sojourn times of a right-censored semi-Markov process. These estimators are always identical to the product-limit estimators if hazard functions may be defined.
Keywords: Censoring; Self-consistency; Semi-Markov process; Truncation
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