From: Bayesian splines versus fractional polynomials in network meta-analysis
Scenario | B-spline model | FP model | ||||
---|---|---|---|---|---|---|
 | Median | Min | Max | Median | Min | Max |
Linear | 0.1007 | 0.1003 | 0.1010 | 0.1423 | 0.1172 | 0.1867 |
Logarithmic | 0.1016 | 0.1014 | 0.1018 | 0.1439 | 0.1258 | 0.1761 |
Piecewise linear monotonic | 0.1300 | 0.1190 | 0.1468 | 0.5701 | 0.5552 | 0.5875 |
Mixed | 0.1321 | 0.1200 | 0.1497 | 0.6794 | 0.6666 | 0.6850 |
Non-monotonic | 0.1399 | 0.1240 | 0.1760 | 0.9321 | 0.9321 | 0.9322 |
MTC | 0.0829 | 0.0746 | 0.0939 | 0.1831 | 0.1236 | 0.3685 |
BEST-ITP | 0.1352 | 0.1262 | 0.1426 | 0.2507 | 0.1712 | 0.4110 |
Piecewise linear monotonic (binary) | 0.6128 | 0.5923 | 0.6246 | 0.6989 | 0.6830 | 0.7037 |
Non-monotonic (binary) | 0.5940 | 0.5763 | 0.6011 | 0.7732 | 0.7372 | 0.8189 |
Piecewise linear (non-closed network) | 0.1483 | 0.1203 | 0.1749 | 1.0382 | 1.0365 | 1.0408 |