Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Stern, Ralph"'
Autor:
Stern, Ralph H.
Assessment of risk prediction models has primarily utilized measures of discrimination, the ROC curve AUC and C-statistic. These derive from the risk distributions of patients and nonpatients, which in turn are derived from a population risk distribu
Externí odkaz:
http://arxiv.org/abs/2311.08559
Autor:
Stern, Ralph H.
The area under the curve (AUC) of the receiver operating characteristics curve (ROC) evaluates the separation between patients and nonpatients or discrimination. For risk prediction models these risk distributions can be derived from the population r
Externí odkaz:
http://arxiv.org/abs/2102.11053
The key concepts (calibration, discrimination, and discordance) important in understanding and comparing risk models are best conveyed graphically. To illustrate this, models predicting death and acute kidney injury in a large cohort of PCI patients
Externí odkaz:
http://arxiv.org/abs/1504.05138
Autor:
Stern, Ralph H.
Multivariate methods that relate outcomes to risk factors have been adopted clinically to individualize treatment. This has promoted the belief that individuals have a true or unique risk. The logic of assigning an individual a single risk value has
Externí odkaz:
http://arxiv.org/abs/1001.2499
Autor:
Stern, Ralph
Risk stratification is most directly and informatively summarized as a risk distribution curve. From this curve the ROC curve, predictiveness curve, and other curves depicting risk stratification can be derived, demonstrating that they present simila
Externí odkaz:
http://arxiv.org/abs/0912.3208
Autor:
Stern, Ralph
Publikováno v:
AA Files, 2006 Jul 01(54), 48-60.
Externí odkaz:
https://www.jstor.org/stable/29544634
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Huber, Nicole, Stern, Ralph
Publikováno v:
AA Files, 2005 Jul 01(52), 24-33.
Externí odkaz:
https://www.jstor.org/stable/29544799