drcarlate (version 1.2.0)

stanE: Compute the Estimated Standard Error of the Input Estimator

Description

stanE Computes the estimated standard error of the input estimator.

Usage

stanE(muY1, muY0, muD1, muD0, A, S, Y, D, tauhat, stratnum = NULL)

Value

A scalar. The estimated standard deviation in Jiang et al. (2022).

Arguments

muY1

A nx1 vector of hat{mu}^Y(A=1)s.

muY0

A nx1 vector of hat{mu}^Y(A=0)s.

muD1

A nx1 vector of hat{mu}^D(A=1)s.

muD0

A nx1 vector of hat{mu}^D(A=0)s.

A

A nx1 vector. Each of its elements is the treatment assignment of the corresponding observation.

S

A nx1 vector. Each of its elements is the stratum of corresponding observation.

Y

A nx1 vector. Each of its elements is the observed outcome of interest of corresponding observation.

D

A nx1 vector. Each of its elements is is a binary random variable indicating whether the individual i received treatment (Di = 1) or not (Di = 0) in the actual study.

tauhat

A scalar. LATE estimate.

stratnum

A scalar. Number of stratum.

References

Jiang L, Linton O B, Tang H, Zhang Y. Improving estimation efficiency via regression-adjustment in covariate-adaptive randomizations with imperfect compliance [J]. 2022.

Examples

DGP <- FuncDGP(dgptype = 1, rndflag = 1, n = 200, g = 4, pi = c(0.5,0.5,0.5,0.5))
muY1 <- DGP[["Y1"]]
muY0 <- DGP[["Y0"]]
muD1 <- DGP[["D1"]]
muD0 <- DGP[["D0"]]
A <- DGP[["A"]]
S <- DGP[["S"]]
Y <- DGP[["Y"]]
D <- DGP[["D"]]
tauhat <- tau(muY1, muY0, muD1, muD0, A, S, Y, D)
stanE(muY1, muY0, muD1, muD0, A, S, Y, D, tauhat)