✦ LIBER ✦

On consistency of the monotone MLE of survival for left truncated and interval-censored data

✍ Scribed by Wei Pan; Rick Chappell; Michael R. Kosorok

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 475 KB
Volume: 38
Category: Article
ISSN: 0167-7152
DOI: 10.1016/s0167-7152(97)00153-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Smooth estimation of the survival functi

Smooth estimation of the survival function for interval censored data

✍ Wei Pan 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 165 KB 👁 2 views

Strong Representations of the Survival F

Strong Representations of the Survival Function Estimator for Truncated and Censored Data with Applications

✍ I. Gijbels; J.L. Wang 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 514 KB

A strong i.i.d. representation is obtained for the product-limit estimator of the survival function based on left truncated and right censored data. This extends the result of Chao and Lo (1988, Ann. Statist. 16, 661-668) for truncated data. An improved rate of the approximation is also obtained on

A Strong Representation of the Product-L

A Strong Representation of the Product-Limit Estimator for Left Truncated and Right Censored Data

✍ Yong Zhou; Paul S.F. Yip 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 162 KB

In this paper we consider the TJW product-limit estimator F n (x) of an unknown distribution function F when the data are subject to random left truncation and right censorship. An almost sure representation of PL-estimator F n (x) is derived with an improved error bound under some weaker assumption

Computation of the NPMLE of distribution

Computation of the NPMLE of distribution functions for interval censored and truncated data with applications to the Cox model

✍ Wei Pan; Rick Chappell 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 1008 KB

The iterative convex minorant (ICM) algorithm (Groeneboom and Wellner, 1992) is widely believed to be much faster than the EM algorithm (Turnbull, 1976) in computing the NPMLE of the distribution function for interval censored data. Our formulation of the ICM helps to explore its connection with the

Imputing unobserved values with the EM a

Imputing unobserved values with the EM algorithm under left and right-truncation, and interval censoring for estimating the size of hidden populations

✍ Matthew L. Robb; Dankmar Böhning 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 136 KB 👁 2 views

Multiple imputation for simple estimatio

Multiple imputation for simple estimation of the hazard function based on interval censored data

✍ Judith D. Bebchuk; Rebecca A. Betensky 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 184 KB 👁 2 views

A data augmentation algorithm is presented for estimating the hazard function and pointwise variability intervals based on interval censored data. The algorithm extends that proposed by Tanner and Wong for grouped right censored data to interval censored data. It applies multiple imputation and loca