TABLE 2: Average Effect Due to Treatment (ATE) Across Multiple Models.
| Statistical technique | Probation violation count |
Probation violation any |
Referral count |
Referral any |
||||
|---|---|---|---|---|---|---|---|---|
| Effect | 95% CI | Effect | 95% CI | Effect | 95% CI | Effect | 95% CI | |
| IPW | 0.77 | [−0.34, 1.88] | 0.17 | [−0.06, 0.39] | −0.61* | [−0.96, −0.25] | −0.20 | [−0.43, 0.03] |
| IPW with covariates | 0.84 | [−0.78, 2.48] | 0.14 | [−0.26, 0.54] | −0.59* | [−1.09, −0.09] | −0.16 | [−0.51, 0.19] |
| CEM | 0.64 | [−0.54, 1.84] | 0.18 | [−0.06, 0.42] | −0.82* | [−1.37, −0.28] | −0.25* | [−0.48, −0.01] |
| CEM with covariates | 0.63 | [−0.47, 1.72] | 0.17 | [−0.05, 0.41] | −0.82* | [−1.37, −0.27] | −0.26* | [−0.48, −0.03] |
Note. CEM, n = 121; IPW, n = 290. ATE = average treatment effect; CI = confidence interval; IPW = inverse probability weight; CEM = coarsened exact matching.
p < .05.