Table 2.
Scenario 1 | Scenario 2 | Scenario 3 | |
---|---|---|---|
posterior probabilitya | 0.043 [0.017–0.048] | 0.643 [0.607–0.678] | 0.325 [0.290–0.360] |
confidence in scenario choiceb | |||
type I error | 0.201 | ||
type II error | 0.105 | 0.283 | |
number of outlying statisticsc | |||
p < 0.05 | 4 | 3 | 6 |
p < 0.01 | 1 | 0 | 0 |
p < 0.001 | 0 | 0 | 0 |
aThe median and 95% confidence intervals of the posterior probability indicate the revised probability distribution of each scenario after taking into consideration the prior information of the model.
bModel performance of best scenario. Type I error indicates the probability with which the best model is rejected. Type II error indicates the probability of deciding for best scenario when it is not true.
cThe number of summary statistics significantly different than the observed data. These statistics were used to discriminate between competing scenarios.