neImpute: Expand the dataset and impute nested counterfactual outcomes

In medflex: Flexible Mediation Analysis Using Natural Effect Models

Expand the dataset and impute nested counterfactual outcomes

Description

This function both expands the data along hypothetical exposure values and imputes nested counterfactual outcomes.

Usage

neImpute(object, ...)

Arguments

object	an object used to select a method.
...	additional arguments.

Details

Generic function that both expands the data along hypothetical exposure values (for each observation unit i) and imputes nested counterfactual outcomes in this expanded dataset in a single run. Imputed counterfactual outcomes

\hat E(Y_i \vert X_i = x, M_i, C_i)

are predictions from the imputation model that can be specified either externally as a fitted model object (neImpute.default) or internally (neImpute.formula).

Value

A data frame of class c("data.frame", "expData", "impData"). See expData for its structure.

References

Vansteelandt, S., Bekaert, M., & Lange, T. (2012). Imputation Strategies for the Estimation of Natural Direct and Indirect Effects. Epidemiologic Methods, 1(1), Article 7.

Loeys, T., Moerkerke, B., De Smet, O., Buysse, A., Steen, J., & Vansteelandt, S. (2013). Flexible Mediation Analysis in the Presence of Nonlinear Relations: Beyond the Mediation Formula. Multivariate Behavioral Research, 48(6), 871-894.

See Also

neImpute.default, neImpute.formula, neModel, expData

medflex documentation built on July 10, 2023, 2 a.m.