Skip to main content
. 2015 Jul 30;64(6):1048–1058. doi: 10.1093/sysbio/syv055

Table 4.

Model specification: JC69 analysis

Data set Models P-value Conf. interval
ML score Parameters Lower Upper
Buckley GTR+G GTR+G 0.241 0.215 0.269
Buckley JC69 GTR+G+I <0.001** <0.001 0.004
Dixon HKY+G HKY+G 0.012* 0.004 0.026
Dixon JC69 GTR+G+I <0.005** <0.005 0.007
Dunn GTR+G+I GTR+G+I <0.01** <0.01 0.036
Dunn JC69 GTR+G+I <0.01** <0.01 0.036
Edwards GTR+G+I GTR+G+I <0.01** <0.01 0.036
Edwards JC69 GTR+G+I <0.01** <0.01 0.036
Liu GTR+G+I GTR+G+I <0.01** <0.01 0.036
Liu JC69 GTR+G+I <0.01** <0.01 0.036
Sullivan GTR+G+I GTR+G+I 0.290 0.204 0.389
Sullivan JC69 GTR+G+I <0.01** <0.01 0.036
Wang GTR+G+I GTR+G+I 0.026* 0.014 0.044
Wang JC69 GTR+G+I <0.005** <0.005 0.007

Notes: Model 1 represents the model used for likelihood inference (i.e., searching and scoring both the original and simulated data sets). Model 2 was used to estimate parameter values and simulate data sets. Separating the models for scoring and simulation has been suggested as a correction for a liberal bias present in the SOWH test. Using a model for scoring with fewer parameters free to vary, such as JC69, here resulted in a more liberal test. All hypotheses were rejected when JC69 was used as Model 1. * indicates p-values less than 0.05; ** indicates less than 0.01.