H Jacqmin-Gadda1, R Thiébaut, J-F Dartigues. 1. INSERM E 0338, Université Victor-Segalen-Bordeaux II, case 11, 146, rue Léo-Saignat, 33076 Bordeaux Cedex, France. helene.jacqmin-gadda@bordeux.inserm.fr
Abstract
BACKGROUND: In epidemiology, we are often interested in the association between the evolution of a quantitative variable and the onset of an event. The aim of this paper is to present a joint model for the analysis of Gaussian repeated data and survival time. Such models allow, for example, to perform survival analysis when a time-dependent explanatory variable is measured intermittently, or to study the evolution of a quantitative marker conditionally to an event. METHODS: They are constructed by combining a mixed model for repeated Gaussian variables and a survival model which can be parametric or semi-parametric (Cox model). RESULTS: We discuss the hypotheses underlying the different joint models proposed in the literature and the necessary assumptions for maximum likelihood estimation. The interest of these methods is illustrated with a study of the natural history of dementia in a cohort of elderly persons.
BACKGROUND: In epidemiology, we are often interested in the association between the evolution of a quantitative variable and the onset of an event. The aim of this paper is to present a joint model for the analysis of Gaussian repeated data and survival time. Such models allow, for example, to perform survival analysis when a time-dependent explanatory variable is measured intermittently, or to study the evolution of a quantitative marker conditionally to an event. METHODS: They are constructed by combining a mixed model for repeated Gaussian variables and a survival model which can be parametric or semi-parametric (Cox model). RESULTS: We discuss the hypotheses underlying the different joint models proposed in the literature and the necessary assumptions for maximum likelihood estimation. The interest of these methods is illustrated with a study of the natural history of dementia in a cohort of elderly persons.
Authors: Divine E Ediebah; Francisca Galindo-Garre; Bernard M J Uitdehaag; Jolie Ringash; Jaap C Reijneveld; Linda Dirven; Efstathios Zikos; Corneel Coens; Martin J van den Bent; Andrew Bottomley; Martin J B Taphoorn Journal: Qual Life Res Date: 2014-10-14 Impact factor: 4.147