The characteristics of psychiatric screening tests (for example, sensitivity, specificity, and AUC – the area under an ROC curve) are frequently assessed using data arising from two-phase samples. Too often, however, the statistical methods that are used are incorrect. They do not appropriately account for the sampling design. Valid methods for the estimate of sensitivity, specificity and, in particular, the AUC, together with its standard error, are discussed in detail and a Stata macro for the implementation of these methods is provided. Simple weighting procedures are used to correct for verification biases arising from the two-phase design, together with bootstrap or jackknife sampling for the calculation of valid standard errors.
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