Simulated two-arm trial

One of seven simulated datasets behind the worked examples in Coppock (2021). A completely randomized trial with a binary outcome, in which 100 of 500 subjects are treated, so the two arms have different assignment probabilities.

Usage

two_arm_trial

Format

two_arm_trial

A tibble with 500 rows and 8 columns:

ID

Subject identifier

U

Unobserved subject-level shock

Y_Z_0, Y_Z_1

Binary potential outcomes under control and treatment

Z

Random assignment, 1 for treatment and 0 for control

Z_cond_prob

Probability of the assigned condition, 0.2 for treated and 0.8 for control

Y

Revealed outcome

condition

Z labelled "Treatment" and "Control"

Source

doi:10.7910/DVN/VE6VSR

Details

Every dataset in this family reports both potential outcomes. They are knowable here because the data are simulated, and no real experiment observes them. Z_cond_prob is the probability that a unit was assigned to the condition it is actually in, which is the quantity an inverse probability weight inverts.

See also

Other Data: attrition_experiment, blocked_experiment, clustered_experiment, continuous_interaction, covariate_adjustment, noncompliance_experiment, patriot_act