find_esgrid {OVtool}

find_esgrid

Description

Finds a reasonable effect size grid to simulate over.

Usage

find_esgrid(my_data, my_cov, treatment, outcome, my_estimand)

Arguments

my_data

Data

my_cov

vector of covariates

treatment

column name of treatment indicator in my_data

outcome

column name of outcome in my_data

my_estimand

Relevant estimand ("ATE" or "ATT")

Value

a data frame with three columns, "Cor_Outcome", "es", and "cov". "Cor_Outcome" represents rho grid values, "ES" represents the range of grid values to represent the association between the unobserved confounder and the treatment indicator on the effect size scale, and "cov" is a vector of all the covariates used in the propensity score model

Examples

data(sud)
sud = data.frame(sud)
sud$treat = ifelse(sud$treat == "A", 1, 0)
sud$wts = sample(seq(1, 10, by=.01), size=nrow(sud), replace = TRUE)
outcome_mod = outcome_model(data = sud,
                            weights = "wts",
                            treatment = "treat",
                            outcome = "eps7p_3",
                            model_covariates = c("sfs8p_0"),
                            estimand = "ATE")

find_es = find_esgrid(sud, my_cov="sfs8p_0", treatment="treat",
                      outcome="eps7p_3",
                      my_estimand="ATE")