stratified_fit

stratified_fit.AIPW

Fitting the data into the AIPW object with/without cross-fitting to estimate the efficient influence functions.
Outcome model is fitted, stratified by exposure status <code>A</code>

The 'AIPW' package implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology. <doi:10.1093/aje/kwab207>". Visit: <https://yqzhong7.github.io/AIPW/> for more information.

Yongqi Zhong

AIPW

Augmented Inverse Probability Weighting

Ashley Naimi

Gabriel Conzuelo

Edward Kennedy

stratified_fit function

<code>$stratified_fit.AIPW()</code>

R6 Usage

Fit the data to the AIPW object stratified by A for the outcome model — stratified_fit

<code>$stratified_fit.AIPW()</code>

stratified_fit: Fit the data to the AIPW object stratified by `A` for the outcome model

Description

Arguments

Value

R6 Usage

See Also