Statistical Methods in Diagnostic Medicine

2,234 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The ROC Curve and the Area under It as Performance Measures (2004, methodology): “This is a known fact even for more general distributions (Zhou et al. 2002).”
Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies (2020, background): “In addition, considering the variety of the research types and characteristics, it should be noted that a great number of calculations will be required with too many variables (Table 1) (16,24-30).”
Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach (2014, background): “This section describes about the various performance measures used to analyse the potential of various classification approaches used for breast cancer detection [33].”
Nonparametric and semiparametric estimation of the three way receiver operating characteristic surface (2009, positive): “Traditional ROC curve analysis relies on the existence of a binary gold-standard for the true disease status (Zhou et al. (2002), Pepe (2003)).”
Quantifying counts and costs via classification (2008, methodology): “In the medical statistics literature, an imperfect binarydiagnostictestwithknownsensitivityandspecificityforadiseasecanbeusedto estimate the prevalence of the disease in a test population ( Zhou et al. 2002, p. 389 ).”