Table 1.
n | nA | p(x ≥ nA∣H0 is true) | |
---|---|---|---|
A: Posterior model | 32 | 26 | 0.001 |
B: Prior model | |||
A: Posterior model | 32 | 28 | 0.001 |
B: Likelihood model | |||
A: Prior model | 32 | 22 | 0.025 |
B: Likelihood model |
Three model comparisons were made. For each comparison, we tested which model (A or B) is better based on comparing the BIC of each individual subject between the two models. The results were coded as 1 when model A was better and 0 when model B is better. A sign test was then carried out. n, Number of subjects; nA, number of subjects in whom model A was better than model B; the binomial random variable; H0 : p(A is better) = p(B is better) = 0.5.