Package: dstat 1.0.4

Paul R. Rosenbaum

dstat: Conditional Sensitivity Analysis for Matched Observational Studies

A d-statistic tests the null hypothesis of no treatment effect in a matched, nonrandomized study of the effects caused by treatments. A d-statistic focuses on subsets of matched pairs that demonstrate insensitivity to unmeasured bias in such an observational study, correcting for double-use of the data by conditional inference. This conditional inference can, in favorable circumstances, substantially increase the power of a sensitivity analysis (Rosenbaum (2010) <doi:10.1007/978-1-4419-1213-8_14>). There are two examples, one concerning unemployment from Lalive et al. (2006) <doi:10.1111/j.1467-937X.2006.00406.x>, the other concerning smoking and periodontal disease from Rosenbaum (2017) <doi:10.1214/17-STS621>.

Authors:Paul R. Rosenbaum

dstat_1.0.4.tar.gz
dstat_1.0.4.tar.gz(r-4.5-noble)dstat_1.0.4.tar.gz(r-4.4-noble)
dstat_1.0.4.tgz(r-4.4-emscripten)dstat_1.0.4.tgz(r-4.3-emscripten)
dstat.pdf |dstat.html
dstat/json (API)

# Install 'dstat' in R:
install.packages('dstat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • dental - Dental Problems Caused by Smoking
  • lalive - Unemployment Duration Following an Increase in Unemployment Benefits

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 168 downloads 2 exports 0 dependencies

Last updated 6 years agofrom:4ab697889b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-linuxOKOct 14 2024

Exports:amplifydstat

Dependencies: