Package: dstat Type: Package Title: Conditional Sensitivity Analysis for Matched Observational Studies Version: 1.0.4 Author: Paul R. Rosenbaum Maintainer: Paul R. Rosenbaum Description: 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) ). There are two examples, one concerning unemployment from Lalive et al. (2006) , the other concerning smoking and periodontal disease from Rosenbaum (2017) . License: GPL-2 Encoding: UTF-8 LazyData: true Imports: stats NeedsCompilation: no Packaged: 2019-04-15 13:23:56 UTC; Rosenbaum Repository: CRAN Date/Publication: 2019-04-16 09:42:41 UTC