sample.n: Targeted sampling of sharp null hypotheses

Description Usage Arguments Value Author(s) References See Also

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


interferenceCI documentation built on May 2, 2019, 3:32 p.m.