Identifiability in interval censorship models
Zhiming Wang,
J. C. Gardiner and
R. V. Ramamoorthi
Statistics & Probability Letters, 1994, vol. 21, issue 3, 215-221
Abstract:
The identifiability of the distribution of an event time is established in two models of interval censorship appropriate in survival studies. In the first model, a fixed number of inspections are made at random times in the follow up period, and in the second, this follow up period is fixed but the number of inspections made is random.
Keywords: Epidemiology; studies; Identifiability; Inspection; Interval; censoring (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)90117-1
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:21:y:1994:i:3:p:215-221
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().