RegressionExplorer: Interactive exploration of logistic regression models with subgroup analysis

Research output: Contribution to journalArticleAcademicpeer-review

38 Citations (Scopus)
503 Downloads (Pure)


We present RegressionExplorer, a Visual Analytics tool for the interactive exploration of logistic regression models. Our application domain is Clinical Biostatistics, where models are derived from patient data with the aim to obtain clinically meaningful insights and consequences. Development and interpretation of a proper model requires domain expertise and insight into model characteristics. Because of time constraints, often a limited number of candidate models is evaluated. RegressionExplorer enables experts to quickly generate, evaluate, and compare many different models, taking the workflow for model development as starting point. Global patterns in parameter values of candidate models can be explored effectively. In addition, experts are enabled to compare candidate models across multiple subpopulations. The insights obtained can be used to formulate new hypotheses or to steer model development. The effectiveness of the tool is demonstrated for two uses cases: prediction of a cardiac conduction disorder in patients after receiving a heart valve implant and prediction of hypernatremia in critically ill patients.

Original languageEnglish
Article number8464305
Pages (from-to)246-255
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number1
Publication statusPublished - 1 Jan 2019


  • Exploratory data analysis
  • Multivariate statistics
  • Predictive visual analytics
  • Regression analysis
  • Subgroup analysis
  • Variable selection
  • Visual analytics


Dive into the research topics of 'RegressionExplorer: Interactive exploration of logistic regression models with subgroup analysis'. Together they form a unique fingerprint.

Cite this