CrossScreening (version 0.1.1)

sen.ci: Point estimate and confidence interval for sensitivity analysis

Description

Point estimate and confidence interval for sensitivity analysis

Usage

sen.ci(d, mm = c(2, 2, 2), gamma = 1, alpha = 0.05, alpha.up = alpha/2,
  alpha.low = alpha/2, score.method = c("approximate", "exact"))

Arguments

d

a vector of treatment-minus-control differences

mm

a vector (m, munder, mover) that indicates the U-statistic. Does not support matrix mm in this function.

gamma

a vector of sensitivity parameters (must be >= 1).

alpha

significance level for the outer confidence interval

alpha.up

upper-tail probability of the confidence interval

alpha.low

lower-tail probability of the confidence interval

score.method

either approximate score or exact score

Value

a list

point.estimate

An interval of point estimates allowing for a bias of gamma in treatment assignment.

ci

An confidence interval allowing for a bias of gamma in treatment assignment.

Details

See the senmwCI function in the sensitivitymw package.

Examples

data(lead)
d.lead <- lead$exposed[-21] - lead$control[-21]
sen.ci(d.lead, gamma = c(1, 2), alpha.up = 0, alpha.low = 0.05)

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