A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis

Beatrice Amico, Arianna Dagliati, Darren Plant, Anne Barton, Niels Peek, Nophar Geifman

Research output: Contribution to journalArticlepeer-review

Abstract

A key trend in current medical research is a shift from a one-size-fit-all to precision treatment strategies, where the focus is on identifying narrow subgroups of the population that would benefit from a given intervention. Precision medicine will greatly benefit from accessible tools that clinicians can use to identify such subgroups, and to generate novel inferences about the patient population they are treating. We present a novel dashboard app that enables clinician users to explore patient subgroups with varying longitudinal treatment response, using latent class mixed modeling. The dashboard was developed in R Shiny. We present results of our approach applied to an observational study of patients with moderate to severe rheumatoid arthritis (RA) on first-line biologic treatment.

Original languageEnglish
Pages (from-to)911-915
Number of pages5
JournalStudies in Health Technology and Informatics
Volume264
DOIs
Publication statusPublished - 21 Aug 2019

Keywords

  • Antirheumatic Agents
  • Arthritis, Rheumatoid
  • Humans
  • Precision Medicine

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