Cox regression analysis for distorted covariates with an unknown distortion function.

@article{Liu2021CoxRA,
  title={Cox regression analysis for distorted covariates with an unknown distortion function.},
  author={Yanyan Liu and Yuanshan Wu and J. Zhang and Haibo Zhou},
  journal={Biometrical journal. Biometrische Zeitschrift},
  year={2021}
}
We study inference for censored survival data where some covariates are distorted by some unknown functions of an observable confounding variable in a multiplicative form. An example of this kind of data in medical studies is normalizing some important observed exposure variables by patients' body mass index , weight, or age. Such a phenomenon also appears frequently in environmental studies where an ambient measure is used for normalization and in genomic studies where the library size needs… Expand

Figures and Tables from this paper

References

SHOWING 1-10 OF 30 REFERENCES
Inference for covariate adjusted regression via varying coefficient models
Cox Regression with Covariate Measurement Error
Regression calibration in failure time regression.
Auxiliary covariate data in failure time regression
Covariate-adjusted generalized linear models
Partial linear single index models with distortion measurement errors
Survival Analysis With Heterogeneous Covariate Measurement Error
Covariate-adjusted regression
Covariate-adjusted nonlinear regression
...
1
2
3
...