Hazards regression for length-biased and right-censored data
Pao-sheng Shen
Statistics & Probability Letters, 2009, vol. 79, issue 4, 457-465
Abstract:
When survival data are collected on a cohort of prevalent cases with constant incidence, it is well known that the survival function corresponding to these data is length-biased. For length-biased data, [Wang, M.-C., 1996. Hazard regression analysis with length-biased data. Biometrika 83, 343-354] developed semiparametric estimation procedures for the proportional hazards model. In this article, for length-biased and right-censored data, we construct semiparametric estimation procedures for the proportional and additive hazards models. Simulation results show that semiparametric estimators can outperform nonparametric estimators when censoring is not heavy and truncation is severe.
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(08)00451-3
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:79:y:2009:i:4:p:457-465
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 ().