oneStepATT {tmle}

Calculate Additive treatment effect among the treated (oneStepATT)

Description

An internal function called by the tmle function to calculate the additive treatment effect among the treated (ATT) using a universal least favorable submodel (on the transformed scale if outcomes are continuous). The function is called a second time with updated arguments to calculate the additive treatment effect among the controls (ATC). Missingness in the outcome data is allowed.

Usage

oneStepATT(Y, A, Delta, Q, g1W, pDelta1, depsilon, max_iter, gbounds, Qbounds, obsWeights)

Arguments

Y

continuous or binary outcome variable

A

binary treatment indicator, 1 - treatment, 0 - control

Delta

indicator of missing outcome. 1 - observed, 0 - missing

Q

a 3-column matrix (Q(A,W), Q(1,W), Q(0,W))

g1W

treatment mechanism estimates, P(A=1|W)

pDelta1

censoring mechanism estimates, a 2-column matrix [P(Delta=1|A=0,W), P(Delta=1|A=1,W)]

depsilon

step size for delta moves, set to 0.001

max_iter

maximum number of iterations before terminating without convergence

gbounds

bounds on the propensity score for untreated subjects

Qbounds

alpha bounds on the logit scale

obsWeights

sampling weights

Value

psi

effect estimate (on the transformed scale for continuous outcomes)

IC

influence function

conv

TRUE if procedure converged, FALSE otherwise

Author(s)

Susan Gruber

See Also

tmle,