iTOS-package

tools:::Rd_package_title("iTOS")

tools:::Rd_package_description("iTOS") package

Details

The DESCRIPTION file: tools:::Rd_package_DESCRIPTION("iTOS")

tools:::Rd_package_indices("iTOS")

Author(s)

tools:::Rd_package_author("iTOS")

Maintainer: tools:::Rd_package_maintainer("iTOS")

References

Rosenbaum, Paul R. Introduction to the Theory of Observational Studies. Manuscript, 2024.

Rosenbaum, P. R. (1989) doi:10.2307/2290079 Optimal matching for observational studies. Journal of the American Statistical Association, 84, 1024-1032.

Rosenbaum, Paul R., Richard N. Ross, and Jeffrey H. Silber (2007) doi:10.1198/016214506000001059 Minimum distance matched sampling with fine balance in an observational study of treatment for ovarian cancer. Journal of the American Statistical Association 102, 75-83.

Rosenbaum, P. R. (2023a) doi:10.1111/biom.13558 Sensitivity analyses informed by tests for bias in observational studies. Biometrics 79, 475-487.

Rosenbaum, P. R. (2023b) doi:10.1111/biom.13921 A second evidence factor for a second control group. Biometrics, 79, 3968-3980.

Yang, D., Small, D. S., Silber, J. H. and Rosenbaum, P. R. (2012) doi:10.1111/j.1541-0420.2011.01691.x Optimal matching with minimal deviation from fine balance in a study of obesity and surgical outcomes. Biometrics, 68, 628-636.

Zhang, B., D. S. Small, K. B. Lasater, M. McHugh, J. H. Silber, and P. R. Rosenbaum (2023) doi:10.1080/01621459.2021.1981337 Matching one sample according to two criteria in observational studies. Journal of the American Statistical Association, 118, 1140-1151.

Examples

data(binge)
table(binge$AlcGroup)
data(aHDL)
table(aHDL$grp)