Usage
pval(eff, est, null, y0.a0, y1.a0, y0.a1, y1.a1, h, n, m.a0, m.a1, C2)
Arguments
eff
treatment effect of interest; either ``DEa0'', ``DEa1'', ``IE'',
``TE'', or ``OE''
est
estimated treatment effect using estimators from Hudgens
and Halloran (2008)
null
value of treatment effect of interest under the sharp
null hypothesis
y0.a0
hypothesized vector $\vec{y}(0;\alpha_{0})$ under the
sharp null hypothesis
y1.a0
hypothesized vector $\vec{y}(1;\alpha_{0})$ under the
sharp null hypothesis
y0.a1
hypothesized vector $\vec{y}(0;\alpha_{1})$ under the
sharp null hypothesis
y1.a1
hypothesized vector $\vec{y}(1;\alpha_{1})$ under the
sharp null hypothesis
h
the number of groups out of $k$ total to be randomized to
strategy $\alpha_{1}$
n
group size vector where element $i=1,\ldots,k$ is
equal to the number of subjects in group $i$
m.a0
$\alpha_{0}$ randomization vector where element $i=1,\ldots,k$ is
equal to the number of subjects in group $i$ who would receive treatment if group $i$ was randomized to strategy $\alpha_{0}$
m.a1
$\alpha_{1}$ randomization vector where element $i=1,\ldots,k$ is
equal to the number of subjects in group $i$ who would receive treatment if group $i$ was randomized to strategy $\alpha_{1}$
C2
number of re-randomizations (experiments) to conduct in
computing the null distribution of the estimator