On consistency of the monotone MLE of survival for left truncated and interval-censored data
The nonparametric monotone MLE is used to overcome the severe under-estimation of survival functions by the NPMLE for left truncated data when a monotone hazard assumption is appropriate. In this paper, we establish the consistency of the monotone MLE for interval-censored data with or without left truncation in two different ways corresponding to two different realistic conditions.
Year of publication: |
1998
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Authors: | Pan, Wei ; Chappell, Rick ; Kosorok, Michael R. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 38.1998, 1, p. 49-57
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Publisher: |
Elsevier |
Keywords: | Cumulative hazard function Monotone hazard Nonparametric maximum likelihood Vague convergence |
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