Targeted sampling of sharp null hypotheses
Description
Fills in missingness in \vec{y}(z;α_{s}) for z,s=0,1 based on targeted sampling algorithm described in Section 4.2 of Rigdon and Hudgens (2014)
Usage
1  sample.n(eff, y0.a0, y1.a0, y0.a1, y1.a1, p00, p10, p01, p11, n, m.a0, m.a1)

Arguments
eff 
treatment effect of interest; either “DEa0”, “DEa1”, “IE”, “TE”, or “OE” 
y0.a0 
Observed \vec{y}(0;α_{0}); includes NAs where missing 
y1.a0 
Observed \vec{y}(1;α_{0}); includes NAs where missing 
y0.a1 
Observed \vec{y}(0;α_{1}); includes NAs where missing 
y1.a1 
Observed \vec{y}(1;α_{1}); includes NAs where missing 
p00 
Missingness in \vec{y}(0;α_{0}) is filled in by sampling from a Bernoulli distribution with mean p_{00} 
p10 
Missingness in \vec{y}(1;α_{0}) is filled in by sampling from a Bernoulli distribution with mean p_{10} 
p01 
Missingness in \vec{y}(0;α_{1}) is filled in by sampling from a Bernoulli distribution with mean p_{01} 
p11 
Missingness in \vec{y}(1;α_{0}) is filled in by sampling from a Bernoulli distribution with mean p_{11} 
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} 
Value
y0.a0 
value of \vec{y}(0;α_{0}) after missingness has been filled in using targeted sampling 
y1.a0 
value of \vec{y}(1;α_{0}) after missingness has been filled in using targeted sampling 
y0.a1 
value of \vec{y}(0;α_{1}) after missingness has been filled in using targeted sampling 
y1.a1 
value of \vec{y}(1;α_{1}) after missingness has been filled in using targeted sampling 
effect 
value of treatment effect of interested under sharp null after missingness filled in using targeted sampling 
Author(s)
Joseph Rigdon jrigdon@bios.unc.edu
References
Rigdon, J. and Hudgens, M.G. “Exact confidence intervals in the presence of interference.” Submitted to Statistics and Probability Letters 2014.
See Also
exactCI