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Abstract
The PyCox model has been adapted to include time-varying covariates.
- Immortal time bias can affect the accuracy of survival analysis results.
- Counting process data allows for more dynamic modeling of covariates over time.
- The adaptation aims to improve the handling of time-varying factors in survival studies.
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