2016
DOI: 10.1177/0962280216673085
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Group-based multi-trajectory modeling

Abstract: Identifying and monitoring multiple disease biomarkers and other clinically important factors affecting the course of a disease, behavior or health status is of great clinical relevance. Yet conventional statistical practice generally falls far short of taking full advantage of the information available in multivariate longitudinal data for tracking the course of the outcome of interest. We demonstrate a method called multi-trajectory modeling that is designed to overcome this limitation. The method is a gener… Show more

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Cited by 459 publications
(419 citation statements)
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“…In a recent analysis of 11 692 pregnancies in the Safe Passage Study, Dukes et al 20 performed Proc Traj to describe alcohol (drinks per drinking day) and tobacco exposure measured up to 4 times in pregnancy. Proc Traj is another LCA methodology that is available in SAS (SAS Institute, Inc, Cary, NC) 36 ; yet unlike kml, this methodology allows for formal checks of the validity of…”
Section: Discussionmentioning
confidence: 99%
“…In a recent analysis of 11 692 pregnancies in the Safe Passage Study, Dukes et al 20 performed Proc Traj to describe alcohol (drinks per drinking day) and tobacco exposure measured up to 4 times in pregnancy. Proc Traj is another LCA methodology that is available in SAS (SAS Institute, Inc, Cary, NC) 36 ; yet unlike kml, this methodology allows for formal checks of the validity of…”
Section: Discussionmentioning
confidence: 99%
“…In the trajectory analysis of our study, the variables that depict working days and earnings were included in the same trajectory model (for example, Nagin et al 2016;Nummi et al 2017). We decided on this type of multi-trajectory analysis because, on their own, the variables depicting labour market attachment do not measure the risks and the phenomenon of labour market attachment comprehensively enough (Jones and Nagin 2007).…”
Section: Methods Of Analysismentioning
confidence: 99%
“…This approach was chosen as it provides a method for identifying distinctive clusters of individual trajectories and for profiling the characteristics of individuals within the clusters. This was important because growth curve methodologies model population variability in growth with multivariate continuous distribution functions, but the GBM approach utilizes a multinomial modeling strategy (Nagin, Jones, Passos, & Tremblay, ).…”
Section: Methodsmentioning
confidence: 99%