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>.

Package details

AuthorPaul Rosenbaum [aut], Qingyuan Zhao [aut, cre]
MaintainerQingyuan Zhao <[email protected]>
LicenseGPL-2
Version0.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CrossScreening")

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CrossScreening documentation built on May 29, 2017, 6:15 p.m.