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. 2013 Nov 5;8(11):e78037. doi: 10.1371/journal.pone.0078037

Table 5. BIC-based comparison of the three false positive rate control models.

Trait GLM 
MLM1 
MLM2 
-2 ln(L) BIC -2 ln(L) BIC -2 ln(L) BIC
LLGTH 1069.0 1104.8 1065.0 1080.4 1026.1 1067.1
NBT 404.6 440.5 402.0 417.4 378.6 419.5
SB 3.3 39.1 -1.6 13.8 -12.2 28.8
LENGTH 1018.6 1054.4 1004.5 1019.8 964.7 1005.7
DEPTH 1009.6 1045.5 995.3 1010.7 956.9 997.8
ANGLE 1218.0 1253.8 1182.0 1197.4 1136.0 1177.0
NBR_30 766.8 802.6 767.1 782.5 733.0 773.9
RB0020 -655.8 -620.0 -678.9 -663.5 -666.0 -619.9
RB2030 -1092.4 -1056.6 -1090.2 -1074.9 -1069.1 -1028.1
RBB30 -1228.4 -1192.6 -1216.0 -1200.7 -1189.2 -1148.3
DRB -931.1 -895.2 -926.4 -911.1 -910.6 -869.7
DRP 1058.2 1094.1 1047.5 1062.8 1001.3 1042.2
RB -556.3 -520.4 -567.5 -552.2 -556.9 -515.9
PB 57.4 93.2 50.8 66.1 39.6 80.5
R_S -795.7 -759.9 -795.3 -780.0 -783.0 -742.0
PCA1 711.5 747.3 708.0 723.4 675.3 716.3

GLM = model including population structure only; MLM1= model including kinship only; MLM2 = model including population structure and kinship. L, maximized value of the likelihood function for the estimate model.

The model with the lowest BIC (bold) is considered the best choice for that trait.