Distinct trajectories of multimorbidity in primary care were identified using latent class growth analysis
نویسندگان
چکیده
منابع مشابه
Course trajectories of unipolar depressive disorders identified by Latent Class Growth Analysis Chapter 6
Background Current classification of unipolar depression reflects the idea that prognosis is essential. However, do DSM-categories of Major Depressive Disorder (MDD), Dysthymic Disorder and Double Depression indeed adequately represent clinically relevant course trajectories of unipolar depression? Our aim was to test DSM-categories (MDD, Dysthymic Disorder and Double Depression) in comparison ...
متن کاملCourse trajectories of unipolar depressive disorders identified by latent class growth analysis.
BACKGROUND Current classification of unipolar depression reflects the idea that prognosis is essential. However, do DSM categories of major depressive disorder (MDD), dysthymic disorder (Dysth) and double depression (DD=MDD+Dysth) indeed adequately represent clinically relevant course trajectories of unipolar depression? Our aim was to test DSM categories (MDD, Dysth and DD) in comparison with ...
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Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
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Geared towards capturing change, longitudinal research is able to provide insight into a variety of phenomena of interest to IS researchers, especially IT adoption and use. However, its potential is constrained by the data analysis methods typically used. In this paper, I introduce an advanced technique – Latent Curve Modeling – and demonstrate how this technique supports longitudinal data anal...
متن کاملInvestigating trajectories of social recovery in individuals with first-episode psychosis: a latent class growth analysis
BACKGROUND Social disability is a hallmark of severe mental illness yet individual differences and factors predicting outcome are largely unknown. AIM To explore trajectories and predictors of social recovery following a first episode of psychosis (FEP). METHOD A sample of 764 individuals with FEP were assessed on entry into early intervention in psychosis (EIP) services and followed up ove...
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ژورنال
عنوان ژورنال: Journal of Clinical Epidemiology
سال: 2014
ISSN: 0895-4356
DOI: 10.1016/j.jclinepi.2014.06.003