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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.4 rolling linux/jammy R-4.5 dstat_1.0.4.tar.gz 109.6 KiB
1.0.4 rolling linux/noble R-4.5 dstat_1.0.4.tar.gz 109.6 KiB
1.0.4 rolling source/ R- dstat_1.0.4.tar.gz 86.3 KiB
1.0.4 latest linux/jammy R-4.5 dstat_1.0.4.tar.gz 109.6 KiB
1.0.4 latest linux/noble R-4.5 dstat_1.0.4.tar.gz 109.6 KiB
1.0.4 latest source/ R- dstat_1.0.4.tar.gz 86.3 KiB
1.0.4 2026-04-26 source/ R- dstat_1.0.4.tar.gz 86.3 KiB
1.0.4 2026-04-23 source/ R- dstat_1.0.4.tar.gz 86.3 KiB
1.0.4 2026-04-09 windows/windows R-4.5 dstat_1.0.4.zip 112.5 KiB
1.0.4 2025-04-20 source/ R- dstat_1.0.4.tar.gz 86.3 KiB

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