backdr_exp_gee: Compute standardized estimates with parametric exposure model

In FrankLef/fciR: Data and functions used with Fundamentals of Causal Inference by Babette Brumback

Compute standardized estimates with parametric exposure model

Description

Compute standardized estimates with parametric exposure model.

Usage

backdr_exp_gee(data, formula, exposure.name, confound.names)

standexpgee(data, formula, exposure.name, confound.names)

Arguments

data	Dataframe of raw data.
formula	Formula representing the model.
exposure.name	Name of exposure variable.
confound.names	Names of the confound variables.

Details

The standardized estimates are computed using the exposure model and the geeglm from the geepack package. This method requires 2 different formulas which are created from the arguments formula. The 2 formulas created are for the exposure model and another one for the weighted linear model.

Value

Dataframe in a useable format for rsample::bootstraps.

See Also

backdr_exp

Examples

# An example can be found in the location identified in the
# source section above at the github site
# https://github.com/FrankLef/FundamentalsCausalInference.

FrankLef/fciR documentation built on Nov. 12, 2023, 6:09 a.m.