Table 3 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 rhesus macaque
From: A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies
p | AIC | \(KL_{div}(\mathcal {M}_0 \Vert \mathcal {M}_1)\) | \(KL_{div}(\mathcal {M}_0 \Vert \mathcal {M}_1)/d\) | ||
|---|---|---|---|---|---|
ZH33 | \(\mathcal {M}_0\) | 11.00 | 81377.27 | ||
\(\mathcal {M}_1\) | 434.16 | 38160.15 | 21062.95 | 1.87 | |
ZH17 | \(\mathcal {M}_0\) | 11.00 | 336752.11 | ||
\(\mathcal {M}_1\) | 478.43 | 29478.05 | 291854802.44 | 114228.89 | |
ZG66 | \(\mathcal {M}_0\) | 11.00 | 31194.60 | ||
\(\mathcal {M}_1\) | 410.92 | 21384.85 | 232030.37 | 83.77 |