Table 7.
Prediction of haemodialysis adequacy.
| Equation | obs | Parms | RMSE | R-squared | F | P |
|---|---|---|---|---|---|---|
| Kt/V | 68 | 4 | 0.2171343 | 0.2664 | 7.747195 | 0.0002 |
| d.v. Kt/V | Coefficient | Standard Error | T | P > |t| | 95% Conf. Interval | |
| i.v. CRP | −0.0017447 | 0.0008991 | −1.94 | 0.057 | −0.0035409/0.0000515 | |
| i.v. Transferrin | −0.0026249 | 0.0007264 | 3.61 | 0.001 | −0.0040762/−0.0011737 | |
| i.v. Ferritin | 0.0001767 | 0.0001692 | 1.04 | 0.300 | −0.0001613/0.0005146 |
Legend to Table 7. Multivariate regression. Parms, parameters; RMSE, root mean squared error (basically a measurement of accuracy). The more accurate model would have less error, as is evident in this output (i.e., 0.2). The significant “R-sq” should be noted. Bold represents which variable remained a significant predictor; d.v., dependent variable; i.v., independent variable.