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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "dstat" in publications use:'
type: software
license: GPL-2.0-only
title: 'dstat: Conditional Sensitivity Analysis for Matched Observational Studies'
version: 1.0.4
doi: 10.32614/CRAN.package.dstat
abstract: 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) <https://doi.org/10.1007/978-1-4419-1213-8_14>).
  There are two examples, one concerning unemployment from Lalive et al. (2006) <https://doi.org/10.1111/j.1467-937X.2006.00406.x>,
  the other concerning smoking and periodontal disease from Rosenbaum (2017) <https://doi.org/10.1214/17-STS621>.
authors:
- family-names: Rosenbaum
  given-names: Paul R.
  email: rosenbaum@wharton.upenn.edu
repository: https://rosenbap.r-universe.dev
commit: 4ab697889bfca84415028d4c583202f135c7a135
date-released: '2019-04-16'
contact:
- family-names: Rosenbaum
  given-names: Paul R.
  email: rosenbaum@wharton.upenn.edu