Table 2.
The biogeographic model fits for 80 simulated datasets.
| Tumor sites | Seeding scenario | LRTs %/BIC | Best-AICc% | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| BAYAREALIKE/+J | DEC/ + J | DIVALIKE/+J | BAYAREALIKE | BAYAREALIKE + J | DEC | DEC + J | DIVALIKE | DIVALIKE + J | ||
| m5 | mS | 80/20 | 40/60 | 30/0 | 20 | 40 | 40 | 0 | 0 | 0 |
| pS | 50/50 | 30/50 | 20/0 | 20 | 0 | 50 | 0 | 30 | 0 | |
| pM | 20/10 | 20/20 | 20/0 | 10 | 10 | 20 | 0 | 60 | 0 | |
| pR | 80/80 | 70/80 | 80/0 | 0 | 30 | 30 | 40 | 0 | 0 | |
| m8 | mS | 80/20 | 90/100 | 60/0 | 20 | 50 | 0 | 20 | 10 | 0 |
| pS | 80/20 | 60/80 | 60/0 | 20 | 30 | 20 | 30 | 0 | 0 | |
| pM | 90/20 | 80/90 | 80/0 | 10 | 30 | 0 | 30 | 0 | 30 | |
| pR | 90/40 | 90/100 | 80/0 | 10 | 20 | 0 | 60 | 0 | 10 | |
| Overall | 71 | 60 | 54 | 14 | 26 | 20 | 23 | 13 | 5 | |
Percent datasets in which the Likelihood Ratio Test (LRT) rejects the null hypothesis (LRTs%), and in which the model has the best AICc score are shown (Best-AICc%).