Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients
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Publication:4968565
DOI10.1111/INSR.12018zbMath1416.62609OpenAlexW1930809375MaRDI QIDQ4968565
Adele H. Marshall, Lisa M. McCrink, Karen J. Cairns
Publication date: 16 July 2019
Published in: International Statistical Review (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/insr.12018
Applications of statistics to biology and medical sciences; meta analysis (62P10) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Medical applications (general) (92C50) Reliability and life testing (62N05)
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A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data ⋮ The joint modeling approach with a simulation study for evaluating the association between the trajectory of serum albumin levels and mortality in peritoneal dialysis patients ⋮ Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter ⋮ Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models
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