Table 2. Regression models of diagnostic test positivity rates (TPR) as predictors of confirmed malaria case rate (CMCR).
Model | Formula | Adjusted R2 | AIC |
---|---|---|---|
Linear | y = b0 + b1(x) | 0.44 | 680 |
Logarithmic | y = b0 + (b1 * ln(x)) | 0.25 | 694 |
Linear Spline at TPR 35% | Y = bo + b1(xx<35%) + b2(xx>35%) | 0.56 | 666 |
Quadratic | y = b0 + b1x + b2x2 | 0.58 | 661 |
Cubic | y = b0 + b1x + b2x2 + b3x3 | 0.69 | 645 |
Power | y = b0 * (xb1) | 0.77 | 646 |
Exponential | y = b0 * b1x | 0.80 | 637 |
AIC = Akaike Information Criteria.