Weighted analyses for cohort sampling designs

@article{Gray2009WeightedAF,
  title={Weighted analyses for cohort sampling designs},
  author={Robert James Gray},
  journal={Lifetime Data Analysis},
  year={2009},
  volume={15},
  pages={24-40}
}
Weighted analysis methods are considered for cohort sampling designs that allow subsampling of both cases and non-cases, but with cases generally sampled more intensively. The methods fit into the general framework for the analysis of survey sampling designs considered by Lin (Biometrika 87:37–47, 2000). Details are given for applying the general methodology in this setting. In addition to considering proportional hazards regression, methods for evaluating the representativeness of the sample… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 17 REFERENCES

Design options for molecular epidemiology research within cohort studies.

  • Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
  • 2005
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Prognostic utility

NE Davidson, GW Sledge, +3 authors JA Sparano
  • 2008

Maximum likelihood estimation for Cox ’ s regression model under case - cohort sampling

TM Therneau, PM Grambsch
  • Scand J Stat
  • 2004

A paradigm for class prediction using gene expression profiles

L Rodrigues, BR Kirkwood
  • J Comput Biol
  • 2002

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