TABLE 3.
Model | Bias and precision relative to naive predictora |
|||||
---|---|---|---|---|---|---|
ΔME (mg/liter) |
ΔMSE (mg/liter) |
|||||
Mean | 95% CI | Rank | Mean | 95% CI | Rank | |
Crandon et al. (9) | −1.82 | −3.28 to −0.36 | 2 | −26.27 | −58.5 to 5.95 | 5 |
Li et al. (7) | −4.25 | −5.55 to −2.95 | 5 | −29.02 | −49.95 to −8.01 | 4 |
Doh et al. with edema (8) | −2.96 | −4.29 to −1.63 | 3 | −35 | −58.4 to −11.58 | 3 |
Doh et al. without edema (8) | −4.31 | −5.69 to −2.93 | 6 | −19.8 | −39.02 to −0.57 | 6 |
Leroy et al. (11, 13) | −5.34 | −6.69 to −4 | 8 | −13.13 | −35.39 to 9.12 | 8 |
Christensson et al. (12) | −4.45 | −5.85 to −3.05 | 7 | −16.02 | −40.13 to 8.09 | 7 |
Muro et al. (14) | 0.02 | −1.19 to 1.24 | 1 | −55.04 | −82.82 to −27.26 | 1 |
Roberts et al. (10) | −3.37 | −4.66 to −2.08 | 4 | −36.54 | −57.37 to −15.7 | 2 |
The bias and precision of the models were ranked according to the delta mean prediction error (ΔME) and delta mean square prediction error (ΔMSE) in relation to a naive predictor (mean of all observed concentrations), respectively.