Figure 1.
The number of subjects involved in the statistical analysis for agreement in test results.
Table 1.
The qualitative agreement between McMaster and Kato-Katz for the detection of soil-transmitted helminths.
Figure 2.
The sensitivity for McMaster and Kato-Katz.
The predicted sensitivity derived from logistic regression for McMaster (left graphs) and Kato-Katz (right graphs) for A. lumbricoides (A), T. trichiura (B), and hookworm (C) in the different trials (countries) involved.
Figure 3.
Differences in sensitivity between Kato-Katz and McMaster.
Differences in sensitivity (SensitivityKato-Katz-SensitivityMcMaster) for A. lumbricoides (A), T. trichiura (B), and hookworm (C) in the different trials (countries) involved.
Table 2.
The quantitative agreement in fecal egg counts (FEC) between McMaster and Kato-Katz.
Figure 4.
The agreement in the assignment to egg excretion intensity obtained by McMaster and Kato-Katz.
The distribution of egg excretion intensity obtained by the McMaster method (low [white], moderate [grey], and high [black] over the egg excretion intensity observed by the Kato-Katz method for A. lumbricoides (A) (n = 199), T. trichiura (B) (n = 217), and hookworm (C) (n = 147).
Table 3.
The quantitative agreement in fecal egg counts (FEC) between Kato-Katz using different multiplication factors.
Figure 5.
The absolute bias for McMaster and Kato-Katz in the assessment of drug efficacy.
The bias (i.e., absolute value of the differences between the ‘true’ drug efficacy (TDE) and the observed fecal egg count reduction) for McMaster and Kato-Katz across the different trials (countries), pre-drug administration fecal egg counts (pre-DA FEC) and ‘true’ drug efficacies (TDE) based on predictions from statistical models.