Quality adjusted survival analysis.

@article{Glasziou1990QualityAS,
  title={Quality adjusted survival analysis.},
  author={Paul P Glasziou and Robert John Simes and Richard D. Gelber},
  journal={Statistics in medicine},
  year={1990},
  volume={9 11},
  pages={
          1259-76
        }
}
We present a technique, quality adjusted survival analysis, for the analysis of controlled trials where patients may experience several health states which differ in their quality of life. When the data are censored, a survival analysis of the quality adjusted life years achieved may involve informative censoring, and produce biased estimates. To overcome this, we partition the survival curve; the resulting areas, which represent the mean time in each state, are multiplied by utility weights to… CONTINUE READING
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