GET THE APP
Biostatistics - Review Articles | Open Access Journals
Journal of Biometrics & Biostatistics

Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access
Spanish Chinese Russian German French Japanese Portuguese Hindi Telugu Tamil
Submit Manuscript arrow_forward arrow_forward ..

Biostatistics - Review Articles

Cardiothoracic radiologists are intuitively aware of the sensitivity and specificity of diagnostic tests involving clinical information. However, many cardiothoracic radiologists are unaware of the odds ratios, likelihood ratios, predictive values, and receptor operating characteristics (OCR) curves, which provide more information about the performance of a test. Our article will first examine the basic concepts of sensitivity, specificity, predictive values   and likelihood ratios. The methodology of the ROC curve will be covered with an emphasis on creating a consultation table, a simple table that communicates important information to the clinician to facilitate diagnosis. The article reviews sensitivity and specificity, as well as predictive values, logistic regression and ROC curves, using conceptual principles without unnecessary mathematical rigor. We will apply the principles of sensitivity and specificity to continuous measurements by building ROC curves in order to link the key ideas in diagnostic decision-making. Three clinical examples are presented to illustrate these basic statistical concepts: predictors of pulmonary embolism in children, use of dobutamine cardiac magnetic resonance imaging to identify impaired ventricular function in patients who have had a heart attack. myocardium, and diagnostic accuracy of the 64-line multidetector computed tomography to identify occluded vessels in adult patients with suspected coronary artery disease. In addition, a glossary is provided at the end of the article with important key terms in diagnostic imaging. An understanding of the concepts presented will help cardiothoracic radiologists to critically discern the usefulness of diagnostic tests and how these statistics can be applied to make judgments and make decisions that are essential to clinical practice.

High Impact List of Articles
Conference Proceedings

Relevant Topics in Science & Technology

Awards & Nominations

50+ Million Readerbase

Journal Highlights

Google Scholar citation report
Citations: 3496

Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report

Citation image
Journal of Biometrics & Biostatistics peer review process verified at publons
Publon image

Indexed In

Related Links

 

Open Access Journals

arrow_upward arrow_upward