Simultaneous confidence bands for Cox regression from semiparametric random censorship
Document Type
Article
Publication Date
1-1-2016
Abstract
Cox regression is combined with semiparametric random censorship models to construct simultaneous confidence bands (SCBs) for subject-specific survival curves. Simulation results are presented to compare the performance of the proposed SCBs with the SCBs that are based only on standard Cox. The new SCBs provide correct empirical coverage and are more informative. The proposed SCBs are illustrated with two real examples. An extension to handle missing censoring indicators is also outlined.
Identifier
84954375775 (Scopus)
Publication Title
Lifetime Data Analysis
External Full Text Location
https://doi.org/10.1007/s10985-015-9323-2
e-ISSN
15729249
ISSN
13807870
PubMed ID
25691289
First Page
122
Last Page
144
Issue
1
Volume
22
Recommended Citation
Mondal, Shoubhik and Subramanian, Sundarraman, "Simultaneous confidence bands for Cox regression from semiparametric random censorship" (2016). Faculty Publications. 10746.
https://digitalcommons.njit.edu/fac_pubs/10746
