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Regression standard...
Regression standardization and attributable fraction estimation with between-within frailty models for clustered survival data
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- Dahlqwist, E (författare)
- Karolinska Institutet
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- Pawitan, Y (författare)
- Karolinska Institutet
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- Sjolander, A (författare)
- Karolinska Institutet
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(creator_code:org_t)
- 2017-09-13
- 2019
- Engelska.
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Ingår i: Statistical methods in medical research. - : SAGE Publications. - 1477-0334 .- 0962-2802. ; 28:2, s. 462-485
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https://doi.org/10.1...
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Abstract
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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.
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- art (ämneskategori)
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