Table 5 Comparison between fixed-effects \(\mathcal {M}_0\) and mixed-effects \(\mathcal {M}_1\) models: Number of parameters (p), AIC, KL divergence \(KL_{div}(\mathcal {M}_0 \Vert \mathcal {M}_1)\) and rescaled KL divergence \(KL_{div}(\mathcal {M}_0 \Vert \mathcal {M}_1)/d\) in each treatment group
From: A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies
p | AIC | \(KL_{div}(\mathcal {M}_0 \Vert \mathcal {M}_1)\) | \(KL_{div}(\mathcal {M}_0 \Vert \mathcal {M}_1)/d\) | ||
|---|---|---|---|---|---|
PGK | \(\mathcal {M}_0\) | 7.00 | 115997.43 | ||
\(\mathcal {M}_1\) | 471.40 | 65083.07 | 17098.71 | 1.29 | |
SFV | \(\mathcal {M}_0\) | 7.00 | 63520.89 | ||
\(\mathcal {M}_1\) | 842.00 | 30147.56 | 52431.53 | 6.51 |