lmtp (version 0.9.1)

lmtp_contrast: Perform Contrasts of LMTP Fits

Description

Estimates contrasts of multiple LMTP fits compared to either a known reference value or a reference LMTP fit.

Usage

lmtp_contrast(..., ref, type = c("additive", "rr", "or"))

Arguments

...

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".

Value

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.

Examples

# NOT RUN {
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 = 2)

# 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 = 2)

# 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 = 2)

# 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")
# }