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Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation.

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Title: Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation.
Authors: Ferede, Melkamu Molla1,2 (AUTHOR) melkamum2m@gmail.com, Nakhaei Rad, Najmeh2 (AUTHOR), Chen, Ding-Geng2,3 (AUTHOR)
Source: BMC Medical Research Methodology. 9/2/2025, Vol. 25 Issue 1, p1-18. 18p.
Database: Academic Search Ultimate
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  Data: Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Research+Methodology%22">BMC Medical Research Methodology</searchLink>. 9/2/2025, Vol. 25 Issue 1, p1-18. 18p.
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        Value: 10.1186/s12874-025-02662-7
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      – Code: eng
        Text: English
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      – TitleFull: Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation.
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            NameFull: Nakhaei Rad, Najmeh
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              Text: 9/2/2025
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