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


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.

Johnson et al. BMC Evolutionary Biology 2010 10:147   doi:10.1186/1471-2148-10-147

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