Table 2 |
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|
Non LD-based real data sets presenting different cases where combining probabilities methods can be applied. |
||||||
|
H0 |
k |
Fisher |
Binomial |
SGM |
Z |
References |
|
|
||||||
|
No association between viviparity and number of species in fishes |
10 |
0.0446 |
0.0081 |
0.1804 |
0.1070 |
[31] |
|
No association between branch length and number of species in angiosperms |
39 |
0.0065 |
0.0216 |
0.3073 |
0.1311 |
[32] |
|
No association between shell size and limpets abundance on cockle |
3 |
0.0001 |
0.0589 |
0.0005 |
0.0001 |
[33] |
|
Random co-occurrence of Theileria annulata and Anaplasma marginale in cattle |
2 |
0.0039 |
0.1240 |
0.0050 |
0.0024 |
[34] |
|
No bottleneck in rusa deer wild populations with the SMM model of mutation. |
8 |
0.0298 |
0.0488 |
0.0155 |
0.0170 |
[35] |
|
Assortative pairing of female and male cattle ticks on their host |
20 |
0.3417 |
0.1424 |
0.1644 |
0.1928 |
[36] |
|
|
||||||
|
SMM: Stepwise Mutation Model (applies to microsatellite loci) Significant combined P-values are in bold |
||||||
|
De Meeûs et al. BMC Bioinformatics 2009 10:443 doi:10.1186/1471-2105-10-443 |
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