Literature DB >> 25413659

Group-based trajectory modeling: an overview.

Daniel S Nagin1.   

Abstract

This article provides an overview of a group-based statistical methodology for analyzing developmental trajectories - the evolution of an outcome over age or time. Across all application domains, this group-based statistical method lends itself to the presentation of findings in the form of easily understood graphical and tabular data summaries. In so doing, the method provides statistical researchers with a tool for figuratively painting a statistical portrait of the predictors and consequences of distinct trajectories of development. Data summaries of this form have the great advantage of being accessible to nontechnical audiences and quickly comprehensible to audiences that are technically sophisticated. Examples of the application of the method are provided. A detailed account of the statistical underpinnings of the method and a full range of applications are provided by the author in a previous study.
© 2014 S. Karger AG, Basel.

Mesh:

Year:  2014        PMID: 25413659     DOI: 10.1159/000360229

Source DB:  PubMed          Journal:  Ann Nutr Metab        ISSN: 0250-6807            Impact factor:   3.374


  94 in total

1.  Prediction Model for Screening Patients at Risk of Malnutrition After Gastric Cancer Surgery.

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3.  Trajectory of Functional Independent Measurements during First Five Years after Moderate and Severe Traumatic Brain Injury.

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4.  Trajectories of Cognitive Function and Associated Phenotypic and Genotypic Factors in Breast Cancer.

Authors:  Catherine M Bender; John D Merriman; Susan M Sereika; Amanda L Gentry; Frances E Casillo; Theresa A Koleck; Margaret Q Rosenzweig; Adam M Brufsky; Priscilla McAuliffe; Yehui Zhu; Yvette P Conley
Journal:  Oncol Nurs Forum       Date:  2018-05-01       Impact factor: 2.172

5.  Opening the black box of the group-based trajectory modeling process to analyze medication adherence patterns: An example using real-world statin adherence data.

Authors:  Ryan P Hickson; Izabela E Annis; Ley A Killeya-Jones; Gang Fang
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7.  Using Group-based Trajectory Models and Propensity Score Weighting to Detect Heterogeneous Treatment Effects: The Case Study of Generic Hormonal Therapy for Women With Breast Cancer.

Authors:  Aaron N Winn; Nicole M Fergestrom; Joan M Neuner
Journal:  Med Care       Date:  2019-01       Impact factor: 2.983

8.  Transition to adult care in sickle cell disease: A longitudinal study of clinical characteristics and disease severity.

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9.  Longitudinal associations of lifetime adiposity with leukocyte telomere length and mitochondrial DNA copy number.

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Journal:  Eur J Epidemiol       Date:  2018-04-04       Impact factor: 8.082

10.  High reinforcing value of food is related to slow habituation to food.

Authors:  Leonard H Epstein; Katelyn A Carr; Alexis O'Brien; Rocco A Paluch; Jennifer L Temple
Journal:  Eat Behav       Date:  2020-07-29
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