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. 2023 Oct 10;18(10):e0292492. doi: 10.1371/journal.pone.0292492

Table 3. Posterior inferences of the coefficients (on the logit-scale) in the best Bayesian zero-one-inflated beta distribution model on proportion of tissue area with tumor metastasis.

The first model component estimates the mean (linear predictor) in the model, and the second component the probability of zero. The factor levels ‘Experiment 1’, ‘Control’ (anesthetic), ‘C57BL/6’ (mouse strain) and ‘Liver’ (organ) are the baseline values in the model and are included in the intercepts. d—Regression coefficient in the linear predictor for the sum of the two shape parameters in the beta distribution. *—indicates a significant difference when the quantile range does not overlap zero.

Model Component Coefficient Mean 25% quantile 97.5% quantile
Logit(mean) Intercept* -4.338 -5.133 -3.568
Experiment 2* 0.918 0.531 1.246
Experiment 4 0.221 0.074 0.567
Isoflurane 0.030 -1.066 1.172
Ketamine 0.527 0.584 1.685
NSG* 1.768 0.966 2.637
Lung* 2.544 1.607 3.560
Isoflurane:NSG 0.284 -0.639 1.067
Ketamine:NSG 0.135 -0.699 1.158
NSG:Lung 0.494 0.366 1.293
Isoflurane:Lung -0.490 -1.403 0.402
Ketamine:Lung -0.809 -1.698 0.230
logit(Pr(y = 0)) Intercept -0.419 -1.113 0.0463
Isoflurane -0.165 -1.266 0.864
Ketamine -0.033 -1.012 1.111
Lung* -2.609 -4.016 -1.406
d 2.131 1.880 2.454