From: Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging
Training | Testing | Sum of log-likelihood | ||
---|---|---|---|---|
Logistic | Lasso | BMA | ||
Base model (p = 29)a | ||||
Rainy 2010 | Rainy 2011 | − 1072.27 | − 1049.24 | − 1028.24b |
Rainy 2011 | Rainy 2012 | − 1055.39 | − 1037.49 | − 1032.57b |
Rainy 2010 | Rainy 2012 | − 1153.62 | − 1110.05 | − 1057.07b |
Dry 2011 | Dry 2012 | − 969.88 | − 919.45b | − 921.54 |
Dry 2012 | Dry 2013 | − 915.95 | − 897.03b | − 903.60 |
Dry 2011 | Dry 2013 | − 967.83 | − 920.28 | − 915.81b |
Average | − 1022.49 | − 988.92 | − 976.47 | |
Model with interactions and splines (p = 73)a | ||||
Rainy 2010 | Rainy 2011 | − 1079.63 | − 1042.02 | − 1027.85b |
Rainy 2011 | Rainy 2012 | − 1066.56 | − 1035.44 | − 1030.75b |
Rainy 2010 | Rainy 2012 | − 1156.76 | − 1092.52 | − 1050.55b |
Dry 2011 | Dry 2012 | − 1065.27 | − 1029.66 | − 921.05b |
Dry 2012 | Dry 2013 | − 922.40 | − 902.79 | − 902.32b |
Dry 2011 | Dry 2013 | − 1079.34 | − 1059.24 | − 917.82b |
Average | − 1061.66 | − 1026.95 | − 975.06 |