lmtp_contrast | R Documentation |
Estimates contrasts of multiple LMTP fits compared to either a known reference value or a reference LMTP fit.
lmtp_contrast(..., ref, type = c("additive", "rr", "or"))
... |
One or more objects of class lmtp. |
ref |
A reference value or another lmtp fit to compare all other fits against. |
type |
The contrasts of interest. Options are "additive" (the default), "rr", and "or". |
A list of class lmtp_contrast
containing the following components:
type |
The type of contrast performed. |
null |
The null hypothesis. |
vals |
A dataframe containing the contrasts estimates, standard errors, and confidence intervals. |
eifs |
Un-centered estimated influence functions for contrasts estimated. |
a <- c("A1", "A2")
nodes <- list(c("L1"), c("L2"))
cens <- c("C1", "C2")
y <- "Y"
# mean population outcome
psi_null <- lmtp_tmle(sim_cens, a, y, time_vary = nodes, cens = cens, shift = NULL, folds = 1)
# treatment rule, everyone is increased by 0.5
d <- function(data, x) data[[x]] + 0.5
psi_rule1 <- lmtp_tmle(sim_cens, a, y, time_vary = nodes, cens = cens,
shift = d, folds = 1, mtp = TRUE)
# treatment rule, everyone is decreased by 0.5
d <- function(data, x) data[[x]] - 0.5
psi_rule2 <- lmtp_tmle(sim_cens, a, y, time_vary = nodes, cens = cens,
shift = d, folds = 1, mtp = TRUE)
# Example 1.1
# Additive effect of rule 1 compared to a known constant
lmtp_contrast(psi_rule1, ref = 0.9)
# Example 1.2
# Additive effect of rule 1 compared to the population mean outcome
lmtp_contrast(psi_rule1, ref = psi_null)
# Example 1.3
# Additive effects of rule 1 and 2 compared to the population mean outcome
lmtp_contrast(psi_rule1, psi_rule2, ref = psi_null)
# Example 1.4
# Relative risk of rule 1 compared to observed exposure
lmtp_contrast(psi_rule1, ref = psi_null, type = "rr")
# Example 1.5
# Odds of rule 1 compared to observed exposure
lmtp_contrast(psi_rule1, ref = psi_null, type = "or")
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