From: Adaptive propensity score procedure improves matching in prospective observational trials
Variable | Group | Distribution | Model |
---|---|---|---|
X _{1} | both | Bin(1;0.5) | |
X _{2} | both | Bin(1;0.2) | |
X _{3} | both | N(70;15) | |
Z | \(logit\left (\frac {P(Z=1)}{1-P(Z=1)}\right)\) | ||
=−0.6+0.35X_{1}−0.01X_{3} | |||
X _{4} | control | Bin(10;0.8) | |
X _{4} | treated | Bin(10;0.75) | |
X _{5} | control | N(17;5) | |
X _{5} | treated | N(16;4) | |
\(Y_{H_{0}}\) | both | Bin(1;0.5) | |
\(Y_{H_{1}}\) | both | \(logit\left (\frac {P(Y=1)}{1-P(Y=1)}\right)\) | |
=−0.5+Z+0.2X_{4} |