Figure 2.

Power to detect association for two different settings of prevalence when only one phenotype misclassification parameter is non-zero. In this figure, the horizontal axis refers to the misclassification probability for one parameter when the second parameter is 0. For example, the graphs labeled "φ = 0" provide power calculations at two settings of disease prevalence (K = 0.05, K = 0.01) as a function of θ values ranging from 0.0 to 0.15 on the horizontal axis. Similarly, the graphs labeled "θ = 0" provide power calculations at two settings of disease prevalence (K = 0.05, K = 0.01) as a function of φ ranging from 0.0 to 0.15 on the horizontal axis.