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Previously [ 7], we used data from the 2nd and 3rd studies to establish cut-points for 24-hour integrated esophageal acidity and time esophageal pH < 4 that had optimal sensitivity and specificity for distinguishing between normal and GERD subjects.
Bayesian posterior probabilities were calculated using the values for the prevalence of false-positive values given in Table 1, the combined prevalence of pathologic esophageal reflux calculated from the index and 3rd studies, and a flat prior probability [8].
We determined these cut-points using receiver operating characteristic (ROC) analyses of data from the 2nd and 3rd studies, and selected the values for postprandial and nocturnal integrated esophageal acidity and time esophageal pH < 4 that had optimal sensitivity and specificity for distinguishing between normal and GERD subjects (Table 1).
SS, MR and PBM designed and conducted the 2nd and 3rd studies, and PBM provided the raw data from the pH recordings.
To examine this possibility, we used Bayes' rule to calculate the probability that the observed prevalence of pathologic esophageal reflux in the index and 3rd studies combined is greater than the prevalence of false-positive values.
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