iTOS-package: Methods and Examples from Introduction to the Theory of...

In iTOS: Methods and Examples from Introduction to the Theory of Observational Studies

Methods and Examples from Introduction to the Theory of Observational Studies

Description

Supplements for a book, "iTOS" = "Introduction to the Theory of Observational Studies." Data sets are 'aHDL' from Rosenbaum (2023a) <doi:10.1111/biom.13558> and 'bingeM' from Rosenbaum (2023b) <doi:10.1111/biom.13921>. The function makematch() uses two-criteria matching from Zhang et al. (2023) <doi:10.1080/01621459.2021.1981337> to create the matched data 'bingeM' from 'binge'. The makematch() function also implements optimal matching (Rosenbaum (1989) <doi:10.2307/2290079>) and matching with fine or near-fine balance (Rosenbaum et al. (2007) <doi:10.1198/016214506000001059> and Yang et al (2012) <doi:10.1111/j.1541-0420.2011.01691.x>). The book makes use of two other R packages, 'weightedRank' and 'tightenBlock'.

Details

The DESCRIPTION file: This package was not yet installed at build time.
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Author(s)

Paul R. Rosenbaum [aut, cre]

Maintainer: Paul R. Rosenbaum <[e-mail]>

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)

iTOS documentation built on Sept. 11, 2024, 8:57 p.m.