Measurement of observer agreement.
By H. Kundel, M. Polansky. Radiology, 2003
1,844 citations recorded by the source corpus.
Subfields: Radiology, Nuclear Medicine and Imaging, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4414ee3fd9d440e2a622fba48e69d744ca296bab
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Radiology, Nuclear Medicine and Imaging
- Hugo J. W. L. Aerts
- Ahmed Hosny
- Monideepa Tarafdar
- Maryellen Lissak Giger
- C. Baeza
- Charles Swanton
- Tim Weitzel
- Sven Laumer
In Statistics and Probability
- Ahmed Hosny
- Hugo J. W. L. Aerts
- Monideepa Tarafdar
- C. Baeza
- Tim Weitzel
- Sven Laumer
- Christian Maier
- Alexander Renkl
Citations in the corpus
- Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior (2019, methodology): “…each distraction within SNS and four items for distraction outside SNS. Step 2: Q-sort for assessment of content validity In a next step, we assessed the content validity of the new items by undertaking the Q-sort procedure as suggested in prior research (Landis and Koch 1977; Nahm et al. 2002).”
- Artificial intelligence in Cancer Imaging: Clinical Challenges and Applications (2019, background): “53 In a recent study, a model incorporating 4 quantitatively scored semantic features (short-axis diameter, contour, concavity, and texture) conferred an accuracy of 74.3% to distinguish malignant from benign nodules in the lung cancer screening setting.”
- Some Paradoxical Results for the Quadratically Weighted Kappa (2012, methodology): “Apart from agreement studies, statistics κ and κw are commonly applied to various crossclassifications of two categorical variables encountered in psychometrics, educational measurement, epidemiology (Jakobsson & Westergren, 2005) and radiology (Kundel & Polansky, 2003; Crewson, 2005).”
- Conditional inequalities between Cohen's kappa and weighted kappas (2013, background): “Examples are psychiatric diagnosis of patients [26], ratings of lesions on scans [16] or the classification of production faults [10].”
- Cohen's kappa is a weighted average (2011, positive): “been applied to square cross-classifications encountered in psychometrics, educationalmeasurement, epidemiology, diagnostic imaging [15],map comparison [24] and content analysis [14].”