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Table 7 Comparison of predicted and measured high blood pressure for different threshold values (HEP sample)

From: Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level

Threshold (p)3 Method 11 Method 22
  Sensitivity Pr(CH = 1|SR = 1) Specificity Pr(CH = 0|SR = 0) Sensitivity Pr(CH = 1|SR = 1) Specificity Pr(CH = 0|SR = 0)
0.5 0.90 0.78 0.92 0.78
0.6 0.89 0.75 0.91 0.77
0.7 0.85 0.66 0.90 0.76
0.8 0.79 0.62 0.89 0.74
  1. 1: Method 1.
  2. a) For individuals who reported never being told they had HBP (SR = 0), we estimate the probability of having clinically measured HBP using one minus the specificity estimate described in Equation (1).
  3. b) For individuals who reported having been told they had HBP (SR = 1), we estimate the probability of having clinically measured HBP using the sensitivity estimate described in Equation (2).
  4. 2: Method 2.
  5. a) Estimates of the probability of self-reported HBP within the HEP sample, using weighted logistic regression models adjusting for the same set of covariates used to calculate sensitivity and specificity.
  6. b )Estimate of the probability of clinically measured HBP as a weighted average of re-calibrated sensitivity and specificity.
  7. 3: Threshold values of the estimated probability of clinically measured HBP which were used to classify each individual into one of two groups, Clinical Hypertensive or not.