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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>.
Getting started
Browse package contents
Package details |
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| Author | Paul Rosenbaum [aut], Qingyuan Zhao [aut, cre] |
| Maintainer | Qingyuan Zhao <qyzhao@wharton.upenn.edu> |
| License | GPL-2 |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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