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Regression standard...
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Dahlqwist, EKarolinska Institutet
(author)
Regression standardization and attributable fraction estimation with between-within frailty models for clustered survival data
- Article/chapterEnglish2019
Publisher, publication year, extent ...
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2017-09-13
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SAGE Publications,2019
Numbers
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LIBRIS-ID:oai:prod.swepub.kib.ki.se:140100025
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http://kipublications.ki.se/Default.aspx?queryparsed=id:140100025URI
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https://doi.org/10.1177/0962280217727558DOI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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The between-within frailty model has been proposed as a viable analysis tool for clustered survival time outcomes. Previous research has shown that this model gives consistent estimates of the exposure–outcome hazard ratio in the presence of unmeasured cluster-constant confounding, which the ordinary frailty model does not, and that estimates obtained from the between-within frailty model are often more efficient than estimates obtained from the stratified Cox proportional hazards model. In this paper, we derive novel estimation techniques for regression standardization with between-within frailty models. We also show how between-within frailty models can be used to estimate the attributable fraction function, which is a generalization of the attributable fraction for survival time outcomes. We illustrate the proposed methods by analyzing a large cohort on preterm birth and attention deficit hyperactivity disorder. To facilitate use of the proposed methods, we provide R code for all analyses.
Added entries (persons, corporate bodies, meetings, titles ...)
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Pawitan, YKarolinska Institutet
(author)
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Sjolander, AKarolinska Institutet
(author)
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Karolinska Institutet
(creator_code:org_t)
Related titles
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In:Statistical methods in medical research: SAGE Publications28:2, s. 462-4851477-03340962-2802
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