Description Usage Arguments Details Value Examples
Calculate bootstrap confidence interval for the bound of harm rate from the treatment to the outcome.
1 | boot_HRbound(Tr, S, Y, c1 = 0, c3 = 1, nboot, conf.level = 0.95)
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Tr |
Treatment variable, a vector taking value 1 or 0. |
S |
Surrogate variable, a vector taking value 1 or 0. |
Y |
Outcome variable, a vector taking value 1 or 0. |
c1 |
0<=c1<=1, representing the harm rate from the treatment to the surrogate. |
c3 |
0<=c3<=1, representing the upper bound for the propotion of the individuals that do not conform to causal necessity. |
nboot |
Number of bootstrap samples. A positive integer. |
conf.level |
Confidence level of the interval. |
This function computes the bootstrap confidence interval for the sharp bound of harm rate from the treatment to the surrogate.
Calculate confidence interval for the bound of the hard rate from the treatment to the outcome.
1 | boot_HRbound(Tr = ACCORD_eye[, 1], S = ACCORD_eye[, 2], Y = ACCORD_eye[, 3], n = 1000)
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