fallback.test

alpha

the way to spread <code>alpha</code>, either a vector of the same length as <code>p</code> or a single number to indicate equal spread in the first <code>spread</code> hypotheses.

spread

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>.

Qingyuan Zhao

CrossScreening

Cross-Screening in Observational Studies that Test Many
Hypotheses

Paul Rosenbaum

fallback.test function

Fallback procedure for multiple testing — fallback.test

Fallback procedure for multiple testing

fallback.test: Fallback procedure for multiple testing

Description

Usage

Arguments

Value

References