This function calculates the adjusted effect after
controlling for confounding effects. You can use d values or
standardized regression coefficients.
Usage
adjusted_coef(effect_xz, effect_uxz, effect_d)
Arguments
- effect_xz
Effect of x on y given z
- effect_uxz
Effect of u on y given x and z
- effect_d
Effect size difference of interest
Value
Adjusted effect size of x on y given u and z
Examples
adjusted_coef(effect_xz = .2,
effect_uxz = .4,
effect_d = .12)
#> [1] 0.152