estimate_QoI: Estimate Quantities of Interest

In tidyhte: Tidy Estimation of Heterogeneous Treatment Effects

Estimate Quantities of Interest

Description

estimate_QoI takes a dataframe already prepared with split IDs, plugin estimates and pseudo-outcomes and calculates the requested quantities of interest (QoIs).

Usage

estimate_QoI(data, ...)

Arguments

data	data frame (already prepared with attach_config, make_splits, produce_plugin_estimates and construct_pseudo_outcomes)
...	Unquoted names of moderators to calculate QoIs for.

Details

To see an example analysis, read vignette("experimental_analysis") in the context of an experiment, vignette("experimental_analysis") for an observational study, or vignette("methodological_details") for a deeper dive under the hood.

See Also

attach_config(), make_splits(), produce_plugin_estimates(), construct_pseudo_outcomes(),

Examples

library("dplyr")
if(require("palmerpenguins")) {
data(package = 'palmerpenguins')
penguins$unitid = seq_len(nrow(penguins))
penguins$propensity = rep(0.5, nrow(penguins))
penguins$treatment = rbinom(nrow(penguins), 1, penguins$propensity)
cfg <- basic_config() %>% 
add_known_propensity_score("propensity") %>%
add_outcome_model("SL.glm.interaction") %>%
remove_vimp()
attach_config(penguins, cfg) %>%
make_splits(unitid, .num_splits = 4) %>%
produce_plugin_estimates(outcome = body_mass_g, treatment = treatment, species, sex) %>%
construct_pseudo_outcomes(body_mass_g, treatment) %>%
estimate_QoI(species, sex)
}

tidyhte documentation built on Aug. 14, 2023, 5:08 p.m.