find_esgrid: find_esgrid

In OVtool: Omitted Variable Tool

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")

OVtool documentation built on Nov. 2, 2021, 9:07 a.m.