Controlling confounding when studying large pharmacoepidemiologic databases: a case study of the two-stage sampling design.

@article{Collet1998ControllingCW,
  title={Controlling confounding when studying large pharmacoepidemiologic databases: a case study of the two-stage sampling design.},
  author={J. P. Collet and D Schaubel and James Hanley and Cameron S. Sharpe and J F Boivin},
  journal={Epidemiology},
  year={1998},
  volume={9 3},
  pages={309-15}
}
Large drug databases have been the source of interesting developments for pharmacoepidemiologic research, because they provide relatively accurate drug exposure histories. An important limitation of these databases is the lack of information on potential confounders. One solution, developed more than a decade ago but not widely used, is "two-stage sampling," in which stage 1 is the collection of information on drug exposure and outcomes, and stage 2 is the collection of confounder data on a… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 17 extracted citations

Similar Papers

Loading similar papers…