TABLE 1.

Iteration process to determine the optimal log-linear decay curve

Step	Process for each subject
1	Fit the full model; i.e., fit a linear regression (as defined by equation 3) to all m parasitemia values of subject i
2	Fit two models; i.e., fit the linear regression model to m − 1 parasitemia values by (i) removing the first observation and (ii) removing the last observation
3	Determine the best model of steps 2i and ii, defined as the model corresponding to the minimum overall model P value
4	Of the best model defined in step 3, repeat steps 2 and 3 in an iterative process until a minimum of four observations have been taken
5	Of the m − 3 best models selected per iteration (including the full model [step 1]), the optimal model is defined by the minimum overall model P value