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Table 3 Bayes Factors (BF) between exponential (Exp) and logistic (Log) growth demographic models for the HIV-1 CRF12_BF and CRF38_BF pol data sets.

From: Phylodynamics of HIV-1 Circulating Recombinant Forms 12_BF and 38_BF in Argentina and Uruguay

Subtype

Model comparison

ln (BF)a

Evidence against H0b

CRF12_BF

Exp (H0) vs Log (H1) Strict clock

111.7 (0.6)

Decisive

 

Exp (H0) vs Log (H1) Relaxed clock

142.0 (0.7)

Decisive

 

Log Strict (H0) vs Relaxed (H1) clock

48.0 (0.5)

Decisive

CRF38_BF

Exp (H0) vs Log (H1) Strict clock

6.9 (0.3)

Decisive

 

Exp (H0) vs Log (H1) Relaxed clock

10.5 (0.4)

Decisive

 

Log Strict (H0) vs Relaxed (H1) clock

8.7 (0.3)

Decisive

  1. aln (BF) = Bayes Factor is the difference (in ln space) of the marginal likelihood of null (H0) and alternative (H1) model. The SE of the estimates is given in parenthesis and was estimated using 1000 bootstrap replicates. bEvidence against H0 was assessed in the following way: ln (BF) < 0 indicates no evidence against the null model; ln (BF) between 0-2.3 indicates weak evidence against the null model, ln (BF) between 2.3-3.4 indicates strong evidence against the null model; ln (BF) between 3.4-4.6 indicates very strong evidence against the null model; and ln (BF) > 4.6 indicates decisive evidence against the null model.