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Title
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Bernstein-based estimation of the cross ratio function
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Author
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Abstract
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| Local association measures provide useful insights in time-varying changes in association, especially between time-to-event variables. Such local dependence between two correlated random variables can be measured using the cross ratio function. The cross ratio function is defined as the ratio of conditional hazard functions which have been estimated using Bernstein polynomials before. Alternatively, the cross ratio function can be expressed in terms of (derivatives of) the joint survival function of the two random variables. In this paper, we discuss an alternative Bernstein-based plug-in estimator of the cross ratio function in which each of the ingredients is estimated separately. Next to asymptotic normality of the nonparametric estimator, a simulation study is used to assess its finite-sample performance. Finally, the novel estimator is applied to a real-life data application. |
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Language
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English
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Source (journal)
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Statistics: a journal of theoretical and applied statistics. - Berlin
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Publication
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Berlin
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2024
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ISSN
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0233-1888
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DOI
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10.1080/02331888.2024.2320924
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Volume/pages
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58
:1
(2024)
, p. 230-246
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ISI
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001175365000001
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Full text (Publisher's DOI)
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Full text (open access)
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The author-created version that incorporates referee comments and is the accepted for publication version Available from 25.10.2024
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