eff_ratio: Inference for effect ratio

In nearfar: Near-Far Matching

Inference for effect ratio

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

eff_ratio(dta, match, outc, trt, alpha)

Arguments

dta	The name of the data frame object
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; returned by both opt_nearfar and matches
outc	The name of the outcome variable in quotes, e.g., “wages”
trt	The name of the treatment variable, e.g., “educ”
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 [e-mail]

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.

Examples

k2 = matches(dta=mtcars, covs=c("cyl", "disp"), sinks=0.2, iv="carb",
    cutpoint=2, imp.var=c("cyl"), tol.var=0.03)

eff_ratio(dta=mtcars, match=k2, outc="wt", trt="gear", alpha=0.05)

nearfar documentation built on May 29, 2024, 3:10 a.m.