Abstract:
BACKGROUND:Available methods for the joint modelling of longitudinal and time-to-event outcomes have typically only allowed for a single longitudinal outcome and a solitary event time. In practice, clinical studies are likely to record multiple longitudinal outcomes. Incorporating all sources of data will improve the predictive capability of any model and lead to more informative inferences for the purpose of medical decision-making. METHODS:We reviewed current methodologies of joint modelling for time-to-event data and multivariate longitudinal data including the distributional and modelling assumptions, the association structures, estimation approaches, software tools for implementation and clinical applications of the methodologies. RESULTS:We found that a large number of different models have recently been proposed. Most considered jointly modelling linear mixed models with proportional hazard models, with correlation between multiple longitudinal outcomes accounted for through multivariate normally distributed random effects. So-called current value and random effects parameterisations are commonly used to link the models. Despite developments, software is still lacking, which has translated into limited uptake by medical researchers. CONCLUSION:Although, in an era of personalized medicine, the value of multivariate joint modelling has been established, researchers are currently limited in their ability to fit these models routinely. We make a series of recommendations for future research needs.
journal_name
BMC Med Res Methodoljournal_title
BMC medical research methodologyauthors
Hickey GL,Philipson P,Jorgensen A,Kolamunnage-Dona Rdoi
10.1186/s12874-016-0212-5subject
Has Abstractpub_date
2016-09-07 00:00:00pages
117issue
1issn
1471-2288pii
10.1186/s12874-016-0212-5journal_volume
16pub_type
杂志文章abstract:BACKGROUND:Missing data present a challenge to many research projects. The problem is often pronounced in studies utilizing self-report scales, and literature addressing different strategies for dealing with missing data in such circumstances is scarce. The objective of this study was to compare six different imputatio...
journal_title:BMC medical research methodology
pub_type: 杂志文章
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更新日期:2006-12-13 00:00:00
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