WSEAS Transactions on Biology and Biomedicine
Print ISSN: 1109-9518, E-ISSN: 2224-2902
Volume 18, 2021
Bias Corrected H-likelihood Approach for Joint Models of Longitudinal and Survival Data, With Application to Community Acquired Pneumonia
Authors: ,
Abstract: Time-to-event coupled with longitudinal trajectories are often of interest in biomedicine, and one popular approach to analysing such data is with a Joint Model (JM). JMs often have intractable marginal likelihoods, and one way to tackle this issue is by using the hierarchical likelihood (HL) estimation approach by Lee and Nelder [12]. The HL approximation sometimes results in biased estimates, and we propose a biascorrection approach (C-HL) that has been used for other models (eg, frailty models). We have applied, for the first time, the C-HL in the context of joint modelling of time-to-event and repeated measures data. Our C-HL method shows efficiency improvement, which comes at a cost of a more expensive computation than the existing HL approach. Additionally, we illustrate our method with a new MIMIC-IV CAP dataset
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Pages: 119-125
DOI: 10.37394/23208.2021.18.14