. 2018 Dec 4;46:41. doi: 10.1186/s41182-018-0123-8

Table 2.

Comparison of the Combined Scenario B models

Scenario B Model functions		MDA interaction	Both pre- and post-MDA
Scenario B Model functions		MDA interaction	RSE	AIC
1	y = a(1 − e^{−(bx + ci)})	δ	0.1224	− 83.66
1	y = a(1 − e^{−(bx + ci)})	N	0.1279	− 77.91
2	y = a − be^{−(cx + di)}	δ	0.1219	− 83.22
2	y = a − be^{−(cx + di)}	N	0.1242	− 80.83
3	y = ae^{−b/(x + ci)}	δ	0.1264	− 80.16
3	y = ae^{−b/(x + ci)}	N	0.1353	− 79.91
4	y = ax^b − ci	δ	0.1257	− 79.50
4	y = ax^b − ci	N	0.1260	− 70.60

Combined Scenario B models evaluated, with their corresponding RSE and AIC values. The y variable represents the predicted antigen estimates, while x is the Mf prevalence as the independent variable. δ is the presence of MDA while N is the rounds of MDA (represented by the independent variable i). The number in bold represent the lowest AIC value from all models in this scenario