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https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 1996 . Peer-reviewed
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https://dx.doi.org/10.1007/978...
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Conditional Proportional Hazards Models

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 1996 English Publisher:Springer US
Authors: Barry C. Arnold; Yong Hee Kim;

doi: 10.1007/978-1-4757-5654-8_4

Conditional Proportional Hazards Models

Abstract

Bivariate survival models can sometimes be characterized in terms of conditional survival functions of the form P(X > x|Y > y) and P(Y > y|X > x). Attention is focussed on models in which these conditional survival functions are of the proportional hazards form. A characterization of such distributions is provided and related estimation problems are discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
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