The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

To cite EmpiricalCalibration in publications use:

Schuemie MJ, Ryan PB, DuMouchel W, Suchard MA, Madigan D (2013). “Interpreting observational studies: why empirical calibration is needed to correct p-values.” Statistics in Medicine, 33(2), 209-218. http://dx.doi.org/10.1002/sim.5925.

Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA (2018). “Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data.” Proc. Natl. Acad. Sci. U.S.A., 115(11), 2571–2577. https://doi.org/10.1073/pnas.1708282114.

Corresponding BibTeX entries:

  @Article{,
    author = {M. J. Schuemie and P. B. Ryan and W. DuMouchel and M. A.
      Suchard and D. Madigan},
    title = {Interpreting observational studies: why empirical
      calibration is needed to correct p-values},
    journal = {Statistics in Medicine},
    volume = {33},
    number = {2},
    pages = {209-218},
    year = {2013},
    url = {http://dx.doi.org/10.1002/sim.5925},
  }
  @Article{,
    author = {M. J. Schuemie and G. Hripcsak and P. B. Ryan and D.
      Madigan and M. A. Suchard},
    title = {{{E}mpirical confidence interval calibration for
      population-level effect estimation studies in observational
      healthcare data}},
    journal = {Proc. Natl. Acad. Sci. U.S.A.},
    year = {2018},
    volume = {115},
    number = {11},
    pages = {2571--2577},
    month = {03},
    url = {https://doi.org/10.1073/pnas.1708282114},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.