Application of Cox Regression with a Change Point in Clinical Studies
Xiaolong Luo,
Gang Chen and
James M. Boyett
Additional contact information
Xiaolong Luo: St. Jude Children’s Research Hospital, Department of Biostatistics
Gang Chen: St. Jude Children’s Research Hospital, Department of Biostatistics
James M. Boyett: St. Jude Children’s Research Hospital, Department of Biostatistics
A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 213-217 from Springer
Abstract:
Abstract Cox regression with an unknown change point and the corresponding large sample theory are discussed. We show how the results of this approach can be applied to computer-simulated data and to failure-time data from a large cohort of children treated at St. Jude Children’s Research Hospital for newly diagnosied acute lymphoblastic leukemia.
Keywords: Acute Lymphoblastic Leukemia; Change Point; FORTRAN Subroutine; Dental Abnormality; Hazard Rate Model (search for similar items in EconPapers)
Date: 1996
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-1-4757-5654-8_28
Ordering information: This item can be ordered from
http://www.springer.com/9781475756548
DOI: 10.1007/978-1-4757-5654-8_28
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().