Lower confidence bounds for time to cure

Rabinowitz, D; Ryan, L

Lower confidence bounds for time to cure

Rabinowitz, D Ryan, L

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Publication Type:: Journal Article
Citation:: Biometrika, 1993, 80 (3), pp. 681 - 687
Issue Date:: 1993-09-01

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Field	Value	Language
dc.contributor.author	Rabinowitz, D	en_US
dc.contributor.author	Ryan, L https://orcid.org/0000-0001-5957-2490	en_US
dc.date.issued	1993-09-01	en_US
dc.identifier.citation	Biometrika, 1993, 80 (3), pp. 681 - 687	en_US
dc.identifier.issn	0006-3444	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26219
dc.description.abstract	SUMMARY: Clinicians often wish to know if and when patients with cancer or other life-threatening diseases can be considered cured. Although some parametric approaches are available, no nonparametric methods exist for treating this question. Here, a nonparametric procedure based on the definition that cure occurs when the hazard for death among patients is no longer greater than the hazard among subjects in the general population with similar age and demographic characteristics is developed. It is argued that the use of a fully nonparametric approach cannot lead to a nontrivial upper confidence bound for time to cure, and an approach to computing lower confidence bounds for time to cure is developed and applied to data from a clinical trial in colorectal cancer. © 1993 Biometrika Trust.	en_US
dc.relation.ispartof	Biometrika	en_US
dc.relation.isbasedon	10.1093/biomet/80.3.681	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	Lower confidence bounds for time to cure	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	80	en_US
utslib.for	010402 Biostatistics	en_US
utslib.for	0103 Numerical and Computational Mathematics	en_US
utslib.for	0104 Statistics	en_US
utslib.for	1403 Econometrics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	80	en_US

Abstract:

SUMMARY: Clinicians often wish to know if and when patients with cancer or other life-threatening diseases can be considered cured. Although some parametric approaches are available, no nonparametric methods exist for treating this question. Here, a nonparametric procedure based on the definition that cure occurs when the hazard for death among patients is no longer greater than the hazard among subjects in the general population with similar age and demographic characteristics is developed. It is argued that the use of a fully nonparametric approach cannot lead to a nontrivial upper confidence bound for time to cure, and an approach to computing lower confidence bounds for time to cure is developed and applied to data from a clinical trial in colorectal cancer. © 1993 Biometrika Trust.

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http://hdl.handle.net/10453/26219