Inference for effect ratio

Share:

Description

Conducts inference on effect ratio as described in Section 3.3 of Baiocchi (2010), resulting in an estimate and a permutation based confidence interval for the effect ratio.

Usage

1
eff.ratio(dta, match, alpha)

Arguments

dta

Data frame where first column is outcome and second column is treatment

match

Data frame where first column contains indices for those individuals encouraged into treatment by instrumental variable and second column contains indices for those individuals discouraged from treatment by instrumental variable

alpha

Level of confidence interval

Value

est.emp

Empirical estimate of effect ratio

est.HL

Hodges-Lehmann type estimate of effect ratio

lower

Lower limit to 1-alpha/2 confidence interval for effect ratio

upper

Upper limit to 1-alpha/2 confidence interval for effect ratio

Author(s)

Joseph Rigdon jrigdon@stanford.edu

References

Baiocchi M, Small D, Lorch S, Rosenbaum P (2010). Building a stronger instrument in an observational study of perinatal care for premature infants. Journal of the American Statistical Association, 105(492), 1285-1296.

See Also

eff.ratio