TABLE A2.
Construction of the segregated stratified data set for ordering score regression. Each patient has a time to death, stroke, or bleed or is censored over the time interval [0,1). This experience is mapped onto an ordering score scale O. The ordering score intervals [0, 1), [1, 2), [3, 3), and [3, 3] correspond to the ordering death ≤ stroke ≤ bleed ≤ nothing and three datasets or strata are created. Each successive dataset is comprised of “survivors” of the previous dataset. Stratified Cox regression is applied to the “survival” data O, IE with covariates Z, W
| ID | O | IE | Z | W | Stratum |
|---|---|---|---|---|---|
| 1 | 0.5 | 0 | 1 | 61 | 1 |
| 2 | 0.5 | 0 | 0 | 46 | 1 |
| 3 | 0.7 | 1 | 1 | 73 | 1 |
| 4 | 1.0 | 0 | 0 | 29 | 1 |
| 5 | 1.0 | 0 | 1 | 63 | 1 |
| 1 | 1.5 | 0 | 1 | 61 | 2 |
| 2 | 1.4 | 1 | 0 | 46 | 2 |
| 4 | 2.0 | 0 | 0 | 29 | 2 |
| 5 | 1.8 | 1 | 1 | 63 | 2 |
| 1 | 2.5 | 0 | 1 | 61 | 3 |
| 4 | 2.3 | 1 | 0 | 29 | 3 |