- Published
- 2021-05-16
- Venue
- Medicina, vol. 57, no. 5, pp. 503
- Cited by
- 445
- Open access
- Yes, gold
- DOI
- 10.3390/medicina57050503
- PubMed
- 34065637
Abstract
Sensitivity, which denotes the proportion of subjects correctly given a positive assignment out of all subjects who are actually positive for the outcome, indicates how well a test can classify subjects who truly have the outcome of interest. Specificity, which denotes the proportion of subjects correctly given a negative assignment out of all subjects who are actually negative for the outcome, indicates how well a test can classify subjects who truly do not have the outcome of interest. Positive predictive value reflects the proportion of subjects with a positive test result who truly have the outcome of interest. Negative predictive value reflects the proportion of subjects with a negative test result who truly do not have the outcome of interest. Sensitivity and specificity are inversely related, wherein one increases as the other decreases, but are generally considered stable for a given test, whereas positive and negative predictive values do inherently vary with pre-test probability (e.g., changes in population disease prevalence). This article will further detail the concepts of sensitivity, specificity, and predictive values using a recent real-world example from the medical literature.
Cite this paper
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- APA 7
Monaghan, T. F., Rahman, S. N., Agudelo, C. W., Wein, A. J., Lazar, J., Everaert, K., & Dmochowski, R. R. (2021). Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value. Medicina, 57(5), 503. https://doi.org/10.3390/medicina57050503
- MLA 9
Monaghan, Thomas F., et al. "Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value." Medicina, vol. 57, no. 5, 2021, pp. 503, https://doi.org/10.3390/medicina57050503.
- Chicago
Monaghan, Thomas F., Syed N. Rahman, Christina W. Agudelo, Alan J. Wein, Jason Lazar, Karel Everaert, and Roger Roman Dmochowski. "Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value." Medicina 57, no. 5 (2021): 503. https://doi.org/10.3390/medicina57050503.
- GOST
Monaghan T. F., Rahman S. N., Agudelo C. W. [и др.] Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value // Medicina. — 2021. — Vol. 57, № 5. — P. 503. — URL: https://doi.org/10.3390/medicina57050503
- BibTeX
@article{monaghan2021foundational, title = {{Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value}}, author = {Thomas F. Monaghan and Syed N. Rahman and Christina W. Agudelo and Alan J. Wein and Jason Lazar and Karel Everaert and Roger Roman Dmochowski}, journal = {Medicina}, year = {2021}, volume = {57}, number = {5}, pages = {503}, doi = {10.3390/medicina57050503}, url = {https://doi.org/10.3390/medicina57050503} }- RIS
TY - JOUR AU - Monaghan, Thomas F. AU - Rahman, Syed N. AU - Agudelo, Christina W. AU - Wein, Alan J. AU - Lazar, Jason AU - Everaert, Karel AU - Dmochowski, Roger Roman TI - Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value JO - Medicina VL - 57 IS - 5 SP - 503 PY - 2021 DA - 2021/05/16 DO - 10.3390/medicina57050503 UR - https://doi.org/10.3390/medicina57050503 ER -
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