testtwice-package: Testing One Hypothesis Twice in Observational Studies

In testtwice: Testing One Hypothesis Twice in Observational Studies

Description

Tests one hypothesis with several test statistics, correcting for multiple testing. The central function in the package is testtwice(). In a sensitivity analysis, the method has the largest design sensitivity of its component tests. The package implements the method and examples in Rosenbaum, P. R. (2012) <doi:10.1093/biomet/ass032> Testing one hypothesis twice in observational studies. Biometrika, 99(4), 763-774.

Details

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Author(s)

Paul R. Rosenbaum

Maintainer: Paul R. Rosenbaum <[e-mail]>

References

Rosenbaum, P. R. (2012) <doi:10.1093/biomet/ass032> Testing one hypothesis twice in observational studies. Biometrika, 99(4), 763-774.

Examples

data(smokerlead)
attach(smokerlead)

# The following example reproduces parts of the first column of Table 3 in Rosenbaum (2012).
w<-rank(abs(lead))
wd<-rank(abs(lead))*dose
wl<-rank(abs(llead))
H<-cbind(w,wd,wl)
tt(lead,H,gamma=2.8)
tt(lead,H,gamma=3.2)

rm(w,wd,wl,H)
detach(smokerlead)

testtwice documentation built on Jan. 13, 2021, 10:38 a.m.