A novel calibration framework for survival analysis when a binary covariate is measured at sparse time points.

@article{Nevo2018ANC,
  title={A novel calibration framework for survival analysis when a binary covariate is measured at sparse time points.},
  author={Daniel Nevo and T. Hamada and S. Ogino and M. Wang},
  journal={Biostatistics},
  year={2018}
}
  • Daniel Nevo, T. Hamada, +1 author M. Wang
  • Published 2018
  • Mathematics, Medicine
  • Biostatistics
  • The goals in clinical and cohort studies often include evaluation of the association of a time-dependent binary treatment or exposure with a survival outcome. Recently, several impactful studies targeted the association between initiation of aspirin and survival following colorectal cancer (CRC) diagnosis. The value of this exposure is zero at baseline and may change its value to one at some time point. Estimating this association is complicated by having only intermittent measurements on… CONTINUE READING

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