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Handling missing covariates in observational studies: an illustration with the assessment of prognostic factors of survival outcomes in soft-tissue or visceral sarcomas in irradiated fields (SIF).

Noémie HuchetNicolas PenelSylvie BonvalotJuliette ThariatFrançoise DucimetièreAntoine GiraudMaud ToulmondeAxel Le CesneJean-Yves BlayJean-Yves Blay
Published in: Therapeutic advances in medical oncology (2024)
The CC population was not representative of the eligible population, introducing bias, in addition to worst precision. The 'missing-data modality method' results in biased estimates in non-randomized studies, as outcomes may be related to variables with missing values. Appropriate statistical methods for missing covariates, for example, MI, should therefore be considered.
Keyphrases
  • prognostic factors
  • soft tissue
  • open label
  • double blind
  • insulin resistance
  • clinical trial
  • big data
  • high grade
  • randomized controlled trial
  • machine learning
  • phase iii
  • phase ii
  • adipose tissue