Table 6 Summary of the sensitivity analysis of the choice of hyper-parameters
From: Bayesian spatial analysis of childhood diseases in Zimbabwe
| Â | Using data on childhood diarrhoea from the 1999 survey | Using data on childhood cough from the 2005/6 survey | Using data on childhood fever from the 2010/11 survey | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
a = 0.001 | a = 0.01 | a = 0.5 | a = 1 | a = 0.001 | a = 0.01 | a = 0.5 | a = 1 | a = 0.001 | a = 0.01 | a = 0.5 | a = 1 | |
b = 0.001 | b = 0.01 | b = 0.0005 | b = 0.005 | b = 0.001 | b = 0.01 | b = 0.0005 | b = 0.005 | b = 0.001 | b = 0.01 | b = 0.0005 | b = 0.005 | |
Spatial effects | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
f str (s), τ 2 str | 0.005 | 0.008 | 0.002 | 0.002 | 0.011 | 0.017 | 0.004 | 0.003 | 0.019 | 0.023 | 0.005 | 0.004 |
f unstr (s), τ 2 unstr | 0.002 | 0.004 | 0.001 | 0.001 | 0.005 | 0.006 | 0.003 | 0.003 | 0.006 | 0.009 | 0.003 | 0.003 |
Smooth functions | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
f1(Childs age), τ 21 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.000 | 0.001 | 0.000 | 0.000 |
f2(Mothers age), τ 22 | 0.001 | 0.002 | 0.001 | 0.001 | 0.001 | 0.002 | 0.000 | 0.000 | 0.012 | 0.018 | 0.006 | 0.003 |