backdr_out: Compute standardized estimates with parametric outcome model

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

Compute standardized estimates with parametric outcome model

Description

Compute standardized estimates with parametric outcome model.

Usage

backdr_out(
  data,
  formula,
  exposure.name,
  confound.names,
  family = c("binomial", "poisson", "gaussian")
)

standout(
  data,
  formula,
  exposure.name,
  confound.names,
  family = c("binomial", "poisson", "gaussian")
)

Arguments

data	Dataframe of raw data.
formula	Formula representing the model.
exposure.name	Name of exposure variable.
confound.names	Names of the confound variables.
family	Name of the model's family. Must be one of c("binomial", "poisson", "gaussian"). default is "binomial".

Details

The standardized estimates are computed using the outcome model. See chapter 6, section 6.1.2, for details.

Value

Dataframe in a useable format for rsample::bootstraps.

Source

Section 6.1.2

See Also

effect_measures

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.