Evaluation of Cox's model and logistic regression for matched case-control data with time-dependent covariates: a simulation study.

@article{Leffondr2003EvaluationOC,
  title={Evaluation of Cox's model and logistic regression for matched case-control data with time-dependent covariates: a simulation study.},
  author={Karen Leffondr{\'e} and Michal Abrahamowicz and Jack Siemiatycki},
  journal={Statistics in medicine},
  year={2003},
  volume={22 24},
  pages={3781-94}
}
Case-control studies are typically analysed using the conventional logistic model, which does not directly account for changes in the covariate values over time. Yet, many exposures may vary over time. The most natural alternative to handle such exposures would be to use the Cox model with time-dependent covariates. However, its application to case-control data opens the question of how to manipulate the risk sets. Through a simulation study, we investigate how the accuracy of the estimates of… CONTINUE READING

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