pROC: an open-source package for R and S+ to analyze and compare ROC curves
Xavier Robin,Natacha Turck,Alexandre Hainard,Natalia Tiberti,Frédérique Lisacek,Jean-Charles Sanchez,Markus Müller +6 more
TLDR
pROC as mentioned in this paper is a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface.Abstract:
Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface. With data previously imported into the R or S+ environment, the pROC package builds ROC curves and includes functions for computing confidence intervals, statistical tests for comparing total or partial area under the curve or the operating points of different classifiers, and methods for smoothing ROC curves. Intermediary and final results are visualised in user-friendly interfaces. A case study based on published clinical and biomarker data shows how to perform a typical ROC analysis with pROC. pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/
under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.read more
Citations
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Thyroid-Stimulating Hormone, Thyroglobulin, and Thyroid Hormones and Risk of Differentiated Thyroid Carcinoma: The EPIC Study
Sabina Rinaldi,Martyn Plummer,Carine Biessy,Konstantinos K. Tsilidis,Konstantinos K. Tsilidis,Jane Nautrup Østergaard,Kim Overvad,Anne Tjønneland,Jytte Halkjær,Marie-Christine Boutron-Ruault,Marie-Christine Boutron-Ruault,Françoise Clavel-Chapelon,Françoise Clavel-Chapelon,Laure Dossus,Laure Dossus,Rudolf Kaaks,Annekatrin Lukanova,Heiner Boeing,Antonia Trichopoulou,Pagona Lagiou,Pagona Lagiou,Dimitrios Trichopoulos,Dimitrios Trichopoulos,Domenico Palli,Claudia Agnoli,Rosario Tumino,Paolo Vineis,Salvatore Panico,H. Bas Bueno-de-Mesquita,Petra H.M. Peeters,Elisabete Weiderpass,Eiliv Lund,J. Ramón Quirós,Antonio Agudo,Esther Molina,Nerea Larrañaga,Carmen Navarro,Eva Ardanaz,Jonas Manjer,Martin Almquist,Maria Sandström,Joakim Hennings,Kay-Tee Khaw,Julie Kathrine Schmidt,Ruth C. Travis,Graham Byrnes,Augustin Scalbert,Isabelle Romieu,Marc J. Gunter,Elio Riboli,Silvia Franceschi +50 more
TL;DR: High Tg levels precede by up to 8 years the detection of TC, pointing to a long sojourn time of the disease, and low TSH levels may predispose to TC onset.
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Surgical specimens, haemodynamics and long-term outcomes after pulmonary endarterectomy
Nika Skoro-Sajer,Gabriel Mihai Marta,Christian Gerges,Gerald Hlavin,Patrick Nierlich,Shahrokh Taghavi,Roela Sadushi-Kolici,Walter Klepetko,Irene M. Lang +8 more
TL;DR: This study confirms the importance of a complete, bilateral surgical endarterectomy and quantifies the impact of PEA on PVR and CPA in a structure/function study and analyses the effects of haemodynamic changes on long-term survival/freedom of lung transplantation in an outcome study.
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Toward enhanced pharmacovigilance using patient-generated data on the internet.
TL;DR: A study on harnessing behavioral data drawn from Internet search logs to detect adverse drug reactions (ADRs) finds that the performance of ADR detection via search logs is comparable and complementary to detection based on the FDA's AERS system.
Journal ArticleDOI
Serum Calprotectin: A Novel Diagnostic and Prognostic Marker in Inflammatory Bowel Diseases
Rahul Kalla,Nicholas A. Kennedy,Nicholas T. Ventham,Ray Boyapati,Alex Adams,Elaine R. Nimmo,Micaela Rios Visconti,Hazel E. Drummond,Gwo-Tzer Ho,Rebecca J Pattenden,David C. Wilson,Jack Satsangi +11 more
TL;DR: A diagnostic and prognostic model that combines SC and other blood-based biomarkers accurately predicts the inflammatory burden in IBD and has the potential to predict disease and its outcomes.
Journal ArticleDOI
Diagnostic Accuracy of Cerebrospinal Fluid Amyloid-β Isoforms for Early and Differential Dementia Diagnosis.
Hanne Struyfs,Bianca Van Broeck,Maarten Timmers,Erik Fransen,Kristel Sleegers,Christine Van Broeckhoven,Peter Paul De Deyn,Johannes Streffer,Marc Mercken,Sebastiaan Engelborghs +9 more
TL;DR: Aβ isoforms help to differentiate AD from FTD and DLB and Aβ(1-42) levels were lower in APOE ε4 carriers compared to non-carriers and the Aβ/Aβ/(1-40) ratio improved diagnostic performance of Aβ (1- 42) in most differential diagnostic situations.
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