CrossScreening: Cross-Screening in Observational Studies that Test Many Hypotheses

Cross-screening is a new method that uses both random halves of the sample to screen and test many hypotheses. It generally improves statistical power in observational studies when many hypotheses are tested simultaneously. References: 1. Qingyuan Zhao, Dylan S Small, and Paul R Rosenbaum. Cross-screening in observational studies that test many hypotheses. <arXiv:1703.02078>. 2. Qingyuan Zhao. On sensitivity value of pair-matched observational studies. <arXiv:1702.03442>.

Version: 0.1.1
Imports: stats, parallel, plyr, tables
Suggests: knitr, ggplot2
Published: 2017-04-21
Author: Paul Rosenbaum [aut], Qingyuan Zhao [aut, cre]
Maintainer: Qingyuan Zhao <qyzhao at wharton.upenn.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: CrossScreening results

Downloads:

Reference manual: CrossScreening.pdf
Vignettes: CrossScreening Vignette
Package source: CrossScreening_0.1.1.tar.gz
Windows binaries: r-devel: CrossScreening_0.1.1.zip, r-release: CrossScreening_0.1.1.zip, r-oldrel: CrossScreening_0.1.1.zip
OS X binaries: r-release: CrossScreening_0.1.1.tgz, r-oldrel: CrossScreening_0.1.1.tgz
Old sources: CrossScreening archive

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