Description Usage Arguments Details Author(s) References See Also
Returns permutation test p-value; used in the construction
of exact confidence intervals by the function exactCI
1 | pval(eff, est, null, y0.a0, y1.a0, y0.a1, y1.a1, h, n, m.a0, m.a1, C2)
|
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;α_{0}) under the sharp null hypothesis |
y1.a0 |
hypothesized vector \vec{y}(1;α_{0}) under the sharp null hypothesis |
y0.a1 |
hypothesized vector \vec{y}(0;α_{1}) under the sharp null hypothesis |
y1.a1 |
hypothesized vector \vec{y}(1;α_{1}) under the sharp null hypothesis |
h |
the number of groups out of k total to be randomized to strategy α_{1} |
n |
group size vector where element i=1,…,k is equal to the number of subjects in group i |
m.a0 |
α_{0} randomization vector where element i=1,…,k is equal to the number of subjects in group i who would receive treatment if group i was randomized to strategy α_{0} |
m.a1 |
α_{1} randomization vector where element i=1,…,k is equal to the number of subjects in group i who would receive treatment if group i was randomized to strategy α_{1} |
C2 |
number of re-randomizations (experiments) to conduct in computing the null distribution of the estimator |
See equation (6) in Rigdon and Hudgens (2014)
Joseph Rigdon jrigdon@bios.unc.edu
Hudgens, M.G. and Halloran, M.E. “Toward causal inference with interference.” Journal of the American Statistical Association 2008 103:832-842.
Rigdon, J. and Hudgens, M.G. “Exact confidence intervals in the presence of interference.” Submitted to Statistics and Probability Letters 2014.
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