• search hit 1 of 1
Back to Result List

Estimability in Cox models

  • Our procedure of estimating is the maximum partial likelihood estimate (MPLE) which is the appropriate estimate in the Cox model with a general censoring distribution, covariates and an unknown baseline hazard rate . We find conditions for estimability and asymptotic estimability. The asymptotic variance matrix of the MPLE is represented and properties are discussed.

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Korakot Wichitsa-Nguan, Henning Läuter, Hannelore Liero
DOI:https://doi.org/10.1007/s00362-016-0755-x
ISSN:0932-5026
ISSN:1613-9798
Title of parent work (English):Statistical Papers
Publisher:Springer
Place of publishing:New York
Publication type:Article
Language:English
Year of first publication:2016
Publication year:2016
Release date:2020/03/22
Tag:Asymptotic variance of maximum partial likelihood estimate; Cox model; Estimability
Volume:57
Number of pages:20
First page:1121
Last Page:1140
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik
Peer review:Referiert
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.