Stability of relative and absolute metrics: Empirical evidence from pulmonology

Mátyás Szigeti, L. Kovács, Tamás Ferenci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It has been widely argued that absolute treatment effect measurements (such as risk difference) reveal the "clinical benefit" of an intervention. Yet, many previous experience with binary endpoints have shown that they are unlikely to be transportable between populations. As absolute metrics are usually derived from baseline risk and relative metric (such as odds ratio), it seems logical to rather measure relative metrics, assuming they are stable. In the present study, a continuous endpoint was used to assess the stability of both relative and absolute metrics using a empirical data from pulmonology. Results are preliminary due to the low baseline variability, yet, the difference was significantly correlated with the baseline, unlike the ratio, which is in line with previous experience with binary endpoints. Further research is needed to explore the stability with continuous endpoints.

Original languageEnglish
Title of host publicationSAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-238
Number of pages4
ISBN (Electronic)9781728102504
DOIs
Publication statusPublished - Jan 1 2019
Event17th IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2019 - Herl'any, Slovakia
Duration: Jan 24 2019Jan 26 2019

Publication series

NameSAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings

Conference

Conference17th IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2019
CountrySlovakia
CityHerl'any
Period1/24/191/26/19

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Keywords

  • absolute risk
  • clinical benefit
  • relative risk
  • treatment effect

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Control and Optimization
  • Human-Computer Interaction

Cite this

Szigeti, M., Kovács, L., & Ferenci, T. (2019). Stability of relative and absolute metrics: Empirical evidence from pulmonology. In SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 235-238). [8782769] (SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMI.2019.8782769