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observationalBlocks: Block Designs for Observational Studies
Creates block designs of fixed size J with at least one treated
and control unit per block. Blocks larger than pairs better
distinguish effects caused by a treatment from unmeasured confounding in
assignment of individuals to treatment. Somewhat counterintuitively,
blocks larger than pairs can use more units while attaining better
covariate balance and block homogeneity. A forthcoming manuscript
by Brumberg and Rosenbaum details the design.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
iTOS, lpSolve, stats |
| Suggests: |
DOS2, sensitivity2x2xk, sensitivitymv, weightedRank, xtable, testthat (≥ 3.0.0) |
| Published: |
2026-04-10 |
| DOI: |
10.32614/CRAN.package.observationalBlocks (may not be active yet) |
| Author: |
Katherine Brumberg
 [aut, cre],
Paul Rosenbaum [aut] |
| Maintainer: |
Katherine Brumberg <kbrum at umich.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
observationalBlocks results |
Documentation:
Downloads:
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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.
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