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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