Table 3 Mixed effect regression with only hematocrit as the independent variable.
RN PCx – PG | LAB PCx – PG | RN PCx – LAB PCx | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Variables | ALL | PG ≤ 4 mmol/L | PG > 4 mmol/L | ALL | PG ≤ 4 mmol/L | PG > 4 mmol/L | ALL | PG ≤ 4 mmol/L | PG > 4 mmol/L | |
Model with no covariate (null model) | ||||||||||
Fixed Effects | Intercept | .1278 (.023) | .2664 (.000) | .0743 (.292) | -.2904 (.000) | -.1427 (.003) | -.3441 (.000) | .4210 (.000) | .4055 (.000) | .4334 (.000) |
Random Effects | Residual | .4286 (.000) | .1491 (.000) | .5294 (.000) | .2670 (.000) | .1057 (.000) | .3178 (.000) | .5027 (.000) | .1760 (.000) | .6344 (.000) |
Intercept | .2190 (.000) | .1748 (.000) | .2638 (.000) | .1197 (.000) | .0910 (.000) | .1498 (.000) | .0282 (.148) | .0563 (.061) | .0274 (.349) | |
ICC | .3382 | .5397 | .3326 | .3095 | .4626 | .3204 | .0531 | .2424 | .0414 | |
Models with the effects of hematocrit | ||||||||||
Fixed Effects | Intercept | 2.1556 (.000) | 2.1616 (.000) | 2.2962 (.000) | 1.3237 (.000) | 1.1849 (.000) | 1.5383 (.000) | .9019 (.000) | 1.0007 (.000) | .8481 (.000) |
Hematocrit | -4.5545 (.000) | -4.1764 (.000) | -5.0828 (.000) | -3.6237 (.000) | -2.9218 (.000) | -4.3113 (.000) | -1.1054 (.005) | -1.3189 (.006) | -.9837 (.068) | |
Random Effects | Residual | .4061 (.000) | .1390 (.000) | .5052 (.000) | .2588 (.000) | .1040 (.000) | .3039 (.000) | .4970 (.000) | .1714 (.000) | .6306 (.000) |
Intercept | .05437 (.013) | .0287 (.204) | .0621 (.063) | .01226 (.176) | .0145 (.262) | .0089 (.461) | .0265 (.172) | .0499 (.081) | .02625 (.383) | |
ICC | .1181 | .1711 | .1095 | .0452 | .1224 | .0285 | .0506 | .02255 | .0400 | |
R-Squared | .2890 | .4822 | .2848 | .2990 | .3976 | .3311 | .0139 | .0474 | .0075 | |