BIC (Bayesian Information Criterion) results |
Parameter | ||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AGEATDIAGNOSIS | Gender female | x | y | z | ||||||||||||||||||||||||||||
Rank | model | ModelProb | i | Estimate | StdErr | Hazard Ratio | 95% Lower Confidence Limit for Hazard Ratio | 95% Upper Confidence Limit for Hazard Ratio | i | Estimate | StdErr | Hazard Ratio | 95% Lower Confidence Limit for Hazard Ratio | 95% Upper Confidence Limit for Hazard Ratio | i | Estimate | StdErr | Hazard Ratio | 95% Lower Confidence Limit for Hazard Ratio | 95% Upper Confidence Limit for Hazard Ratio | i | Estimate | StdErr | Hazard Ratio | 95% Lower Confidence Limit for Hazard Ratio | 95% Upper Confidence Limit for Hazard Ratio | i | Estimate | StdErr | Hazard Ratio | 95% Lower Confidence Limit for Hazard Ratio | 95% Upper Confidence Limit for Hazard Ratio |
1 | AgeAtDiagnosis,y,z,gender | 53.83% | . | 0.03 | 0.00788 | 1.033 | 1.017 | 1.049 | . | -0.79 | 0.32190 | 0.454 | 0.241 | 0.852 | . | . | . | . | . | . | . | 0.48 | 0.05559 | 1.621 | 1.453 | 1.807 | . | 0.21 | 0.04126 | 1.230 | 1.134 | 1.333 |
2 | AgeAtDiagnosis,y,z | 34.35% | . | 0.04 | 0.00779 | 1.037 | 1.021 | 1.053 | . | . | . | . | . | . | . | . | . | . | . | . | . | 0.47 | 0.05466 | 1.599 | 1.437 | 1.780 | . | 0.21 | 0.04096 | 1.234 | 1.139 | 1.337 |
3 | AgeAtDiagnosis,x,y,z,gender | 7.10% | . | 0.03 | 0.00794 | 1.033 | 1.017 | 1.049 | . | -0.79 | 0.32072 | 0.455 | 0.243 | 0.854 | . | -0.18 | 0.30975 | 0.836 | 0.456 | 1.534 | . | 0.48 | 0.05594 | 1.624 | 1.455 | 1.812 | . | 0.21 | 0.04289 | 1.238 | 1.138 | 1.347 |
4 | AgeAtDiagnosis,x,y,z | 4.57% | . | 0.04 | 0.00791 | 1.036 | 1.020 | 1.052 | . | . | . | . | . | . | . | -0.19 | 0.31236 | 0.831 | 0.451 | 1.533 | . | 0.47 | 0.05512 | 1.604 | 1.440 | 1.787 | . | 0.22 | 0.04234 | 1.242 | 1.143 | 1.349 |
5 | y,z,gender | 0.10% | . | . | . | . | . | . | . | -1.04 | 0.31128 | 0.354 | 0.192 | 0.651 | . | . | . | . | . | . | . | 0.55 | 0.05405 | 1.738 | 1.563 | 1.932 | . | 0.20 | 0.04082 | 1.218 | 1.124 | 1.320 |
6 | x,y,z,gender | 0.02% | . | . | . | . | . | . | . | -1.00 | 0.31272 | 0.368 | 0.199 | 0.679 | . | -0.33 | 0.31150 | 0.716 | 0.389 | 1.319 | . | 0.56 | 0.05424 | 1.743 | 1.567 | 1.939 | . | 0.21 | 0.04237 | 1.233 | 1.135 | 1.340 |
7 | y,z | 0.01% | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | 0.54 | 0.05347 | 1.720 | 1.549 | 1.911 | . | 0.20 | 0.04047 | 1.219 | 1.126 | 1.319 |
8 | AgeAtDiagnosis,y,gender | 0.01% | . | 0.03 | 0.00841 | 1.034 | 1.017 | 1.051 | . | -0.86 | 0.31374 | 0.422 | 0.228 | 0.780 | . | . | . | . | . | . | . | 0.60 | 0.05046 | 1.818 | 1.647 | 2.007 | . | . | . | . | . | . |
Posterior Probability, Mean, StdErr and Hazard Ratio for each variable |
Posterior Parameters | Conditional [on being in the model] Posterior Parameters | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Parameter | Post Prob | First Model In | First Model Without | i | Post Mean | Post StdErr | Median Post Hazard Ratio | 95% LCL for Hazard Ratio | 95% UCL for Hazard Ratio | i | [cond] Post Mean | [cond] Post StdErr | [cond] Median Post Hazard Ratio | [cond] 95% LCL for Hazard Ratio | [cond] 95% UCL for Hazard Ratio |
y | 100.00% | 1 | 17 | . | 0.48 | 0.06 | 1.61 | 1.45 | 1.80 | . | 0.48 | 0.06 | 1.61 | 1.45 | 1.80 |
z | 99.99% | 1 | 8 | . | 0.21 | 0.04 | 1.23 | 1.14 | 1.34 | . | 0.21 | 0.04 | 1.23 | 1.14 | 1.34 |
AGEATDIAGNOSIS | 99.87% | 1 | 5 | . | 0.03 | 0.01 | 1.03 | 1.02 | 1.05 | . | 0.03 | 0.01 | 1.03 | 1.02 | 1.05 |
Gender female | 61.07% | 1 | 2 | . | -0.48 | 0.46 | 0.61 | 0.26 | 1.00 | . | -0.79 | 0.32 | 0.45 | 0.24 | 0.85 |
x | 11.70% | 3 | 1 | . | -0.02 | 0.12 | 1.00 | 0.65 | 1.07 | . | -0.18 | 0.31 | 0.83 | 0.45 | 1.53 |
Details |
Rank | Model | Converged | ModelProb | BIC | -2 log Likelihood | p (number of parameters) |
number of events |
---|---|---|---|---|---|---|---|
1 | AgeAtDiagnosis,y,z,gender | Yes | 53.83% | 544.819 | 527.241 | 4 | 81 |
2 | AgeAtDiagnosis,y,z | Yes | 34.35% | 545.717 | 532.534 | 3 | 81 |
3 | AgeAtDiagnosis,x,y,z,gender | Yes | 7.10% | 548.869 | 526.897 | 5 | 81 |
4 | AgeAtDiagnosis,x,y,z | Yes | 4.57% | 549.752 | 532.174 | 4 | 81 |
5 | y,z,gender | Yes | 0.10% | 557.388 | 544.205 | 3 | 81 |
6 | x,y,z,gender | Yes | 0.02% | 560.582 | 543.004 | 4 | 81 |
7 | y,z | Yes | 0.01% | 562.200 | 553.411 | 2 | 81 |
8 | AgeAtDiagnosis,y,gender | Yes | 0.01% | 562.592 | 549.409 | 3 | 81 |
9 | AgeAtDiagnosis,y | Yes | 0.00% | 564.691 | 555.902 | 2 | 81 |
10 | x,y,z | Yes | 0.00% | 564.729 | 551.546 | 3 | 81 |
11 | AgeAtDiagnosis,x,y,gender | Yes | 0.00% | 566.694 | 549.116 | 4 | 81 |
12 | AgeAtDiagnosis,x,y | Yes | 0.00% | 568.853 | 555.670 | 3 | 81 |
13 | y,gender | Yes | 0.00% | 573.899 | 565.110 | 2 | 81 |
14 | x,y,gender | Yes | 0.00% | 578.293 | 565.110 | 3 | 81 |
15 | y | Yes | 0.00% | 579.218 | 574.824 | 1 | 81 |
16 | x,y | Yes | 0.00% | 583.515 | 574.726 | 2 | 81 |
17 | AgeAtDiagnosis,z | Yes | 0.00% | 608.460 | 599.671 | 2 | 81 |
18 | AgeAtDiagnosis,z,gender | Yes | 0.00% | 609.571 | 596.388 | 3 | 81 |
19 | AgeAtDiagnosis,x,z | Yes | 0.00% | 612.738 | 599.555 | 3 | 81 |
20 | AgeAtDiagnosis,x,z,gender | Yes | 0.00% | 613.801 | 596.223 | 4 | 81 |
21 | z,gender | Yes | 0.00% | 646.027 | 637.238 | 2 | 81 |
22 | z | Yes | 0.00% | 648.995 | 644.601 | 1 | 81 |
23 | x,z,gender | Yes | 0.00% | 650.276 | 637.093 | 3 | 81 |
24 | x,z | Yes | 0.00% | 653.062 | 644.273 | 2 | 81 |
25 | AgeAtDiagnosis,x | Yes | 0.00% | 695.365 | 686.576 | 2 | 81 |
26 | AgeAtDiagnosis,x,gender | Yes | 0.00% | 695.492 | 682.309 | 3 | 81 |
27 | AgeAtDiagnosis | Yes | 0.00% | 697.058 | 692.664 | 1 | 81 |
28 | AgeAtDiagnosis,gender | Yes | 0.00% | 697.108 | 688.319 | 2 | 81 |
29 | x,gender | Yes | 0.00% | 746.003 | 737.214 | 2 | 81 |
30 | gender | Yes | 0.00% | 747.543 | 743.149 | 1 | 81 |
31 | x | Yes | 0.00% | 749.835 | 745.441 | 1 | 81 |
32 | NULL | Yes | 0.00% | 750.246 | 750.246 | 0 | 81 |