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Addressing Bias in Responder Analysis of Patient-Reported Outcomes.

Joseph Christopher CappelleriRichard Chambers
Published in: Therapeutic innovation & regulatory science (2021)
The methodology can be applied to different therapeutic areas. Limitations of the methodology, such as when adjusted cell estimates become negative, are highlighted. The role of anchor-based methodology is discussed for obtaining estimates of sensitivity and specificity on responder classification. Correction for treatment effect bias from misclassification of responder status on PRO measures can lead to more trustworthy interpretation and effective decision-making. Clinicaltrials.gov: NCT00343200.
Keyphrases
  • patient reported outcomes
  • decision making
  • machine learning
  • single cell
  • deep learning
  • stem cells
  • combination therapy
  • anti inflammatory