Standardizing estimates of the Plasmodium falciparum parasite rate

Malaria Journal

Table 1 Comparing Algorithms

*Data Subset*	*All (n = 242)*	*Random (n = 160/82)*			L₁ ≥ *2–10≤ U₁ (n = 87)*
	r ²	1 ^st	≥ 2 ^nd	≥ 3 ^rd	r ² *(n=87)*	*Cat. Err* .
Pull & Grab	0.72	80%	94%	99%	0.71	18%
Regression	0.68	17%	70%	95%	0.68	31%
Interpolation	0.64	3%	28%	50%	0.57	22%
Garki	0.58	0%	0%	5%	0.46	25%
PR ₂	0.05	0%	0%	0%	0.21	38%

A summary of the skill of the four candidate standardization algorithms. The columns summarize the proportion of variance explained (r²), for the full data, the rankings of the four algorithms fitted to 100 random sub-samples of the testing set (n = 160) and tested on the remainder (n = 82), and the r² and the proportion of categorical errors for the subset of the testing set that was within the standardization range. The table also includes an evaluation of the paired PfPR estimate (PR₂).

ISSN: 1475-2875