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Item response models for the longitudinal analysis of health-related quality of life in cancer clinical trials.

Antoine BarbieriJean PeyhardiThierry ConroySophie GourgouChristian LavergneCaroline Mollevi
Published in: BMC medical research methodology (2017)
Adjacent and cumulative item response models seem particularly suitable for HRQoL analysis. In the specific context of cancer clinical trials and the comparison between two groups of HRQoL data over time, the cumulative model seems to be the most suitable, given that it is able to generate a more complete set of results and gives an intuitive illustration of the data.
Keyphrases
  • clinical trial
  • papillary thyroid
  • squamous cell
  • electronic health record
  • big data
  • randomized controlled trial
  • psychometric properties
  • cross sectional
  • open label
  • young adults
  • double blind
  • study protocol
  • phase iii