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. 2010 May 18;10:147. doi: 10.1186/1471-2148-10-147

Table 3.

Model comparison for linear mixed-effect logistic regression on alternative quantitative genetic models for survival of cross types.

Model df AIC BIC Λ χ2 Inline graphic Inline graphic
μ0 + bS 2 362.89 370.89 -179.44
μ0 + bS + bH 3 364.69 376.70 -179.34 0.1978 1 0.6565
μ0 + bS + bH + bSS 4 349.63 365.64 -170.81 17.0631 1 0.0000
μ0 + bS + bH + bSS + bHH* 5 345.30 365.32 -167.65 6.3258 1 0.0119
μ0 + bS + bH + bSS + bHH + bSH 6 345.49 369.51 -166.74 1.8142 1 0.1780

Models are evaluated using Akaike's Information Criterion (AIC), Bayesian Information Criterion (BIC), and Log Likelihood (Λ) goodness-of-fit estimates. The best model is denoted by an asterisk. Chi-square and p-values compare the respective model to the simpler model in the row above.