In this sample, sensitivity and specificity for correctly identifying a faller using a positive history of falls were 74% and 69%, respectively.
The MCP detector and probe positioning was adjusted for optimal sample sensitivity.
Using the EBUS scope for both endobronchial as well as endo-oesophageal sampling, the sensitivity for cancer detection was shown to be as high as 96% (EUS 89%, EBUS 91), with a specificity of 100% and negative predictive value of 96% (EUS 82%, EBUS 92%) [33].
We therefore applied the Bayesian Dirichlet process described earlier to the deep sequencing data, adding correction for the sample-specific sensitivity for detecting mutations at different levels of subclonality.
In a recent meta-analysis [ 12] of endometrial sampling methods, sensitivity for detection of endometrial carcinoma was in the range of 25 100%.
This 20 CpG site predictor (corresponding to 16 gene promoters) was able to correctly classify 14 out of 16 of the new samples (sensitivity = 0.75, specificity = 0.97 for tumor prediction), and was included in the 124 CpG sites signature of HCC.
Finally, a single urine sample showed moderate sensitivity for predicting a subject's tertile categorization.
This complexity prompted use of recombinant DNase, extensive fractionation, and multiple injections per fraction to achieve sufficient sample purification and sensitivity for low level DNA adduct detection.
However, a previous study in our cohort showed that a single urine sample had moderate sensitivity for predicting an individual's longer-term exposure over several weeks or months (Mahalingaiah et al. 2008).
Single spot samples are limited measures of longer-term exposure, but a in study of temporal variability in urinary BPA metabolites, Mahalingaiah et al. (2008) found that a single spot sample had moderate sensitivity for predicting an individual's tertiary categorization.
