Effect of Censoring Due to Progressive Disease on Tumor Size Kinetic Parameter Estimates

@article{Bonate2013EffectOC,
  title={Effect of Censoring Due to Progressive Disease on Tumor Size Kinetic Parameter Estimates},
  author={Peter L Bonate and Ben Suttle},
  journal={The AAPS Journal},
  year={2013},
  volume={15},
  pages={832-839}
}
Tumor growth profiles were simulated for 2 years using the Wang and Claret models under a phase 3 clinical trial design. Profiles were censored when tumor size increased >20% from nadir similar to clinical practice. The percent of patients censored varied from 0% (perfect case) to 100% (real-life case). The model used to generate the data was then fit to the censored data using FOCE in NONMEM. The percent bias in the estimated model parameters determined with censored data was compared to the… CONTINUE READING

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Modeling tumor growth in oncology

  • L. Bonate
  • New York: Springer;
  • 2011
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