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Table 2 Non LD-based real data sets presenting different cases where combining probabilities methods can be applied.

From: MultiTest V.1.2, a program to binomially combine independent tests and performance comparison with other related methods on proportional data

H 0

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]

  1. SMM: Stepwise Mutation Model (applies to microsatellite loci)
  2. Significant combined P-values are in bold