calcParameters: Calculate Parameter Estimates (calcParameters)

In tmle: Targeted Maximum Likelihood Estimation

Calculate Parameter Estimates (calcParameters)

Description

An internal function called by the tmle function to calculate the population mean effect when there is missingness in the data, but no treatment assignment. When observations are in treatment and control groups, estimates the additive treatment effect among the entire population (ATE), among the treated (ATT), and among the controls (ATC). If the outcome is binary, also the relative risk and odds ratio parameters. P-values and 95% confidence intervals are also calculated (on the log scale for RR and OR).

Usage

calcParameters(Y, A, I.Z, Delta, g1W, g0W, Q, mu1, mu0, id, family, 
	       obsWeights, alpha.sig=0.05, ICflag=TRUE)

Arguments

Y	continuous or binary outcome variable
A	binary treatment indicator, 1 - treatment, 0 - control
I.Z	Indicator Z=z, needed for CDE estimation
Delta	indicator of missing outcome. 1 - observed, 0 - missing
g1W	censoring mechanism estimates, P(A=1|W) \times P(Delta=1|A,W)
g0W	censoring mechanism estimates, P(A=0|W) \times P(Delta=1|A,W)
Q	a 3-column matrix (Q(A,W), Q(1,W), Q(0,W))
mu1	targeted estimate of E(Y|A=1,W)
mu0	targeted estimate of E(Y|A=0,W)
id	subject identifier
family	family specification for regressions, generally ‘gaussian’ for continuous outcomes, ‘binomial’ for binary outcomes
obsWeights	sampling weights
alpha.sig	significance level for constructing CIs. Default = 0.05
ICflag	set to FALSE to skip evaluating IC-based variance

Value

EY1	Population mean outcome estimate, variance, p-value, 95% confidence interval (missingness only, no treatment assignment), or NULL
ATE	additive treatment effect estimate, variance, p-value, 95% confidence interval, or NULL
RR	relative risk estimate, p-value, 95% confidence interval, log(RR), variance(log(RR)), or NULL
OR	odds ratio estimate, p-value, 95% confidence interval, log(OR), variance(log(OR)), or NULL

Author(s)

Susan Gruber

See Also

tmle, estimateQ, estimateG, tmleMSM, calcSigma

tmle documentation built on Aug. 23, 2023, 1:08 a.m.