Literature DB >> 32131616

Identifying subgroups: Part 2: Trajectories of change over time.

Christopher S Lee1, Kenneth M Faulkner1, Jessica H Thompson1.   

Abstract

Methods to identify multiple trajectories of change over time are of great interest in nursing and in related health research. Latent growth mixture modeling is a data-centered analytic strategy that allows us to study questions about distinct trajectories of change in key measures or outcomes of interest. In this article, a worked example of latent growth mixture modeling is presented to help expose researchers to the use and appeal of this analytic strategy.

Entities:  

Keywords:  Latent growth mixture modeling; latent class analysis; longitudinal methods; structural equation modeling; subgroup analysis; trajectories

Mesh:

Year:  2020        PMID: 32131616     DOI: 10.1177/1474515120911330

Source DB:  PubMed          Journal:  Eur J Cardiovasc Nurs        ISSN: 1474-5151            Impact factor:   3.908


  4 in total

1.  Adverse events in patients with a left ventricular assist device: are patient-reported outcomes affected?

Authors:  Jessica Harman Thompson; Kenneth Faulkner; Christopher Lee
Journal:  Eur J Cardiovasc Nurs       Date:  2022-04-09       Impact factor: 3.593

2.  Patterns and predictors of dyspnoea following left ventricular assist device implantation.

Authors:  Kenneth M Faulkner; Corrine Y Jurgens; Quin E Denfeld; Christopher V Chien; Jessica Harman Thompson; Jill M Gelow; Kathleen L Grady; Christopher S Lee
Journal:  Eur J Cardiovasc Nurs       Date:  2022-10-14       Impact factor: 3.593

3.  Validating online approaches for rare disease research using latent class mixture modeling.

Authors:  Andrew A Dwyer; Ziwei Zeng; Christopher S Lee
Journal:  Orphanet J Rare Dis       Date:  2021-05-10       Impact factor: 4.123

4.  Study protocol for the Exercising Together© trial: a randomized, controlled trial of partnered exercise for couples coping with cancer.

Authors:  Kerri M Winters-Stone; Karen S Lyons; Nathan F Dieckmann; Christopher S Lee; Zahi Mitri; Tomasz M Beer
Journal:  Trials       Date:  2021-08-30       Impact factor: 2.279

  4 in total

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