# Statistics and Research Methods for Acute Care and General SurgeonsDiagnostic Studies Made Easy

Statistics and Research Methods for Acute Care and General Surgeons: Diagnostic Studies Made Easy [Diagnostic studies have two components: the test result (predictor) and the disease status (outcome). Test sensitivity is the percentage of the true positive results in those having the disease, while test specificity is the percentage of the true negative results in those patients who do not have the disease. The predictive value of a positive test is the probability that a patient with a positive result has the disease, while the predictive value of a negative test is the probability of a patient with a negative result not having the disease. The likelihood ratio is the likelihood that a patient having the disease would have a certain result divided by the likelihood that a patient without the disease would have the same result. Receiver operating characteristics (ROC) curves illustrate the diagnostic characteristics of a test having an ordinal or continuous result.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

# Statistics and Research Methods for Acute Care and General SurgeonsDiagnostic Studies Made Easy

Editors: Ceresoli, Marco; Abu-Zidan, Fikri M.; Staudenmayer, Kristan L.; Catena, Fausto; Coccolini, Federico
11 pages

/lp/springer-journals/statistics-and-research-methods-for-acute-care-and-general-surgeons-HMBAB90eYY
Publisher
Springer International Publishing
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-13817-1
Pages
17 –28
DOI
10.1007/978-3-031-13818-8_2
Publisher site
See Chapter on Publisher Site

### Abstract

[Diagnostic studies have two components: the test result (predictor) and the disease status (outcome). Test sensitivity is the percentage of the true positive results in those having the disease, while test specificity is the percentage of the true negative results in those patients who do not have the disease. The predictive value of a positive test is the probability that a patient with a positive result has the disease, while the predictive value of a negative test is the probability of a patient with a negative result not having the disease. The likelihood ratio is the likelihood that a patient having the disease would have a certain result divided by the likelihood that a patient without the disease would have the same result. Receiver operating characteristics (ROC) curves illustrate the diagnostic characteristics of a test having an ordinal or continuous result.]

Published: Dec 14, 2022

Keywords: Diagnostic study; Predictor; Outcome; Sensitivity; Specificity; Prior probability; Likelihood ratio