A two-stage strategy to accommodate general patterns of confounding in the design of observational studies.

@article{Haneuse2012ATS,
  title={A two-stage strategy to accommodate general patterns of confounding in the design of observational studies.},
  author={Sebastien Haneuse and Jonathan S. Schildcrout and Daniel L. Gillen},
  journal={Biostatistics},
  year={2012},
  volume={13 2},
  pages={274-88}
}
Accommodating general patterns of confounding in sample size/power calculations for observational studies is extremely challenging, both technically and scientifically. While employing previously implemented sample size/power tools is appealing, they typically ignore important aspects of the design/data structure. In this paper, we show that sample size/power calculations that ignore confounding can be much more unreliable than is conventionally thought; using real data from the US state of… CONTINUE READING

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