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Table 2 Bayes factors for each model applied to AFP and environmental surveillance data of serotype 1 WPV in Pakistan, January 2010 – August 2015 . A Bayes factor greater than 1.00 indicates an improved model fit when compared to the baseline model

From: Population sensitivity of acute flaccid paralysis and environmental surveillance for serotype 1 poliovirus in Pakistan: an observational study

Assumption for AFP surveillance

Assumption for environmental surveillance

Number of parameters

Model evidence

Bayes Factor

One value

One value

4

− 502.9

NA

Linear increase with log10(incidence)

One value

5

− 493.9

9*

One value

Linear increase with catchment size

5

−504.5

−1.6

Linear increase with log10(incidence)

Linear increase with catchment size

6

− 495.3

7.6*

One value

Quadratic relationship with catchment size

6

− 505.5

−2.6

Linear increase with log10(incidence)

Quadratic relationship with catchment size

7

− 496.3

6.6*

One value

Mixed effects structure (no association with catchment size)

6

− 491.4

11.5*

Linear increase with log10(incidence)

Mixed effects structure (no association with catchment size)

7

− 481.3

21.6*

  1. The starred models have an improved fit to the data in comparison to the simplest model and the best-fitting model is highlighted in bold