zepid.calc.utils.specificity¶
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zepid.calc.utils.
specificity
(detected, noncases, alpha=0.05, confint='wald')¶ Calculate the specificity from number of false detections and the number of total non-cases.
Parameters: - detected (integer, float) – Number of false cases detected via testing criteria
- noncases (integer, float) – Total number of non-cases
- alpha (float, optional) – Alpha value to calculate two-sided Wald confidence intervals. Default is 95% confidence interval
- confint (string, optional) – Type of confidence interval to generate. Current options include Wald or Hypergeometric confidence intervals
Returns: Tuple of specificity, lower CL, upper CL, SE
Return type: tuple
Examples
Calculating specificity
>>> from zepid.calc import specificity >>> sp = specificity(88, 100)
Extract specificity
>>> sp[0]
Extract confidence intervals for specificity
>>> sp[1:3]
Extract standard error
>>> sp[3]