Robust estimation of the effect of an exposure on the change in a continuous outcome

@article{Ning2020RobustEO,
  title={Robust estimation of the effect of an exposure on the change in a continuous outcome},
  author={Y. Ning and N. St{\o}er and P. J. Ho and S. Kao and K. Y. Ngiam and E. Y. Khoo and S. C. Lee and E. Tai and M. Hartman and M. Reilly and C. S. Tan},
  journal={BMC Medical Research Methodology},
  year={2020},
  volume={20}
}
  • Y. Ning, N. Støer, +8 authors C. S. Tan
  • Published 2020
  • Medicine
  • BMC Medical Research Methodology
  • Background The change in two measurements of a continuous outcome can be modelled directly with a linear regression model, or indirectly with a random effects model (REM) of the individual measurements. These methods are susceptible to model misspecifications, which are commonly addressed by applying monotonic transformations (e.g., Box-Cox transformation) to the outcomes. However, transforming the outcomes complicates the data analysis, especially when variable selection is involved. We… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 44 REFERENCES
    Mechanisms of translational regulation in Drosophila
    92
    Modelling Inflation in Australia
    26
    Vertebral osteoporosis in ankylosing spondylitis.
    40
    Silicon schottky barrier diode with near-ideal I-V characteristics
    49