summary_median

summary_median.Repeated

From <code>repeated_estimates</code>, calculate the median estimate (<code>median(Estimates)</code>), median SE (<code>median(SE)</code>), SE adjusting for variations across <code>num_reps</code> times,
and 95% CI using SE adjusting for SE adjusted for variability.

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

summary_median function

<code>$summary_median.Repeated()</code>

R6 Usage

Summary of the repeated_estimates from repfit() in the Repeated object using median methods. — summary_median

<code>$summary_median.Repeated()</code>

summary_median: Summary of the `repeated_estimates` from `repfit()` in the Repeated object using median methods.

Description

Arguments

Value

R6 Usage

References

See Also