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Table 2 Goodness-of-fit estimates for fixed and random effects fractional polynomial models for different powers p1 and p2.

From: Network meta-analysis of survival data with fractional polynomials

Power p1 Power p2 Dbar Dhat pD DIC
Fixed effects models
-2 - 904.5 884.6 19.9 924.4
-1 - 916.2 896.3 19.8 936.0
-0.5 - 925.5 905.6 19.9 945.3
0a - 934.6 915.2 19.3 953.9
0.5 - 942.8 923.5 19.4 962.2
1b - 948.7 929.2 19.4 968.1
2 - 957.3 937.5 19.9 977.2
3 - 964.5 944.3 20.2 984.7
-2 -2 865.5 835.8 29.8 895.3
-2 -1 857.2 827.0 30.2 887.4
-2 -0.5 850.9 821.2 29.7 880.6
-2 0 844.4 815.2 29.1 873.5
-2 0.5 840.2 810.6 29.7 869.9
-2 1 837.1 807.1 30.1 867.2
-2 2 837.3 807.2 30.1 867.4
-2 3 837.8 808.2 29.6 867.4
-1 -1 848.4 819.8 28.6 877.0
-1 -0.5 849.0 820.1 28.9 877.9
-1 0 840.9 812.6 28.3 869.2
-1 0.5 840.2 811.4 28.8 869.0
-1 1 839.8 809.8 30.0 869.8
-1 2 844.3 814.0 30.2 874.5
-1 3 850.4 820.4 30.0 880.5
-0.5 -0.5 840.5 811.6 28.9 869.4
-0.5 0 842.2 813.6 28.6 870.8
-0.5 0.5 842.4 812.3 30.1 872.5
-0.5 1 843.6 813.9 29.7 873.3
-0.5 2 851.9 822.9 29.1 881.0
-0.5 3 861.4 831.4 30.0 891.5
0 0 845.8 817.2 28.6 874.4
0 0.5 849.8 821.6 28.2 878.0
0 1 854.6 823.4 31.2 885.8
0 2 862.5 833.3 29.1 891.6
0 3 874.2 844.6 29.6 903.9
0.5 0.5 854.3 830.6 23.8 878.1
0.5 1 860.0 831.8 28.2 888.1
0.5 2 876.4 846.7 29.7 906.1
0.5 3 888.3 858.8 29.4 917.7
1 1 871.4 842.0 29.4 900.8
1 2 887.2 858.3 28.9 916.2
1 3 902.3 871.7 30.6 932.9
2 2 907.8 880.0 27.9 935.7
2 3 921.2 892.2 29.0 950.2
3 3 934.6 906.9 27.7 962.4
Random effects models
-2 - 904.4 883.2 21.3 925.7
0a - 934.4 911.4 23.0 957.4
-2c 1 835.9 803.9 32.0 867.9
-2 d 1 836.1 805.1 31.0 867.1
  1. a Corresponding to Weibull distribution for hazard over time; b Corresponding to Gompertz distribution for hazard over time; c Random effects model with heterogeneity for all three effect parameters; d Random effects model with heterogeneity for d0