Data-driven desirability function to measure patients' disease progression in a longitudinal study
Multiple outcomes are increasingly used to assess chronic disease progression. We discuss and show how desirability functions can be used to assess a patient overall response to a treatment using multiple outcome measures and each of them may contribute unequally to the final assessment. Because jud...
| Veröffentlicht in: | Journal of applied statistics. - 1991. - 43(2016), 5 vom: 01. Apr., Seite 783-795 |
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| Format: | Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2016
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| Zugriff auf das übergeordnete Werk: | Journal of applied statistics |
| Schlagworte: | Journal Article desirability function longitudinal data multiple outcomes nonlinear least squares scleroderma |