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Application of ROC curve analysis to FAMACHA((c)) evaluation of haemonchosis on two sheep farms in South Africa Instituut voor Tropische Geneeskunde
Test sensitivity and specificity for the FAMACHA((c)) clinical test for anaemia due to haemonchosis have previously been shown to be adequate in differentiating between heavily/less heavily infected sheep, but these properties give no objective guidance for setting the optimum threshold at which anthelmintic treatment should occur. The aim of this work was to use Receiver Operating Characteristic (ROC) curves to evaluate the diagnostic accuracy ...
CA 15.3 measurements for separating FDG PET/CT positive from negative findings in breast carcinoma recurrence. Factors influencing the area under the ROC curve KU Leuven Universiteit Gent
In breast cancer CA 15.3 is considered the tumour marker of choice. CA 15.3 is directly related to the disease extent and to hormone status (estrogen receptor ER+/ ER-, progesterone receptor PR+/PR-). This study was designed to assess the impact of disease extent, hormone receptor and HER2-status, and circulating blood volume on the area-under the ROC-curve of CA 15.3 to separate FDG PET positive from negative findings.
Application of ROC curve analysis to FAMACHA© evaluation of haemonchosis on two sheep farms in South Africa Universiteit Gent
ROC curves for clinical prediction models part 1. ROC plots showed no added value above the AUC when evaluating the performance of clinical prediction models KU Leuven
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model discriminates between patients with and without a condition. We aim to investigate how ROC curves are presented in the literature and discuss and illustrate their potential limitations. STUDY DESIGN AND SETTING: We conducted a pragmatic literature review of contemporary publications that externally validated clinical prediction models. We illustrated ...
ROC curves for clinical prediction models part 3. The ROC plot: a picture that needs a 1000 words KU Leuven
A test for comparing conditional ROC curves with multidimensional covariates KU Leuven
The comparison of Receiver Operating Characteristic (ROC) curves is frequently used in the literature to compare the discriminatory capability of different classification procedures based on diagnostic variables. The performance of these variables can be sometimes influenced by the presence of other covariates, and thus they should be taken into account when making the comparison. A new non-parametric test is proposed here for testing the ...
Validation of a candidate instrument to assess image quality in digital mammography using ROC analysis KU Leuven
PURPOSE: To validate a candidate instrument, to be used by different professionals to assess image quality in digital mammography (DM), against detection performance results. METHODS: A receiver operating characteristics (ROC) study was conducted to assess the detection performance in DM images with four different image quality levels due to different quality issues. Fourteen expert breast radiologists from five countries assessed a set of 80 DM ...
Clinical presentation, microbiological aetiology and disease course in patients with flu-like illness: a post hoc analysis of randomised controlled trial data Universiteit Antwerpen
Background: There is little evidence about the relation between aetiology, illness severity and clinical course of respiratory tract infections (RTI) in primary care. Understanding these associations would aid to develop effective management strategies for these infections. Aim: To investigate whether the clinical presentation and illness course differ between RTI in whom a viral pathogen was detected and those in whom a potential bacterial ...