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. . 2. Qingyuan Zhao. On sensitivity value of pair-matched observational studies. .


Reference manual

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0.1.1 by Qingyuan Zhao, 5 months ago

Browse source code at

Authors: Paul Rosenbaum [aut], Qingyuan Zhao [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports stats, parallel, plyr, tables

Suggests knitr, ggplot2

See at CRAN