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Accommodating informative dropout and death: a joint modelling approach for longitudinal and semi-competing risks data.

Accommodating informative dropout and death: a joint modelling approach for longitudinal and semi-competing risks data.
Author Information (click to view)

Li Q, Su L,


Li Q, Su L, (click to view)

Li Q, Su L,

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Journal of the Royal Statistical Society. Series A, (Statistics in Society) 2017 01 3067(1) 145-163 doi 10.1111/rssc.12210
Abstract

Both dropout and death can truncate observation of a longitudinal outcome. Since extrapolation beyond death is often not appropriate, it is desirable to obtain the longitudinal outcome profile of a population given being alive. We propose a new likelihood-based approach to accommodating informative dropout and death by jointly modelling the longitudinal outcome and semi-competing event times of dropout and death, with an important feature that the conditional longitudinal profile of being alive can be conveniently obtained in a closed form. We use proposed methods to estimate different longitudinal profiles of CD4 count for patients from the HIV Epidemiology Research Study.

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