Literature DB >> 3049782

Receiver operator characteristic (ROC) curves.

M D Nettleman1.   

Abstract

Receiver operator characteristic curves describe the trade-off between appropriate diagnoses of true disease and inappropriate positive diagnoses in healthy persons. ROC curves may be used to compare the accuracy of two or more tests, diagnostic algorithms, or the performance of diagnosticians.

Entities:  

Mesh：

Year:  1988        PMID： 3049782     DOI： 10.1086/645891

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN： 0899-823X            Impact factor:   3.254


  8 in total

1.  Evaluation of two media for antibiotic susceptibility testing of anaerobic bacteria using the receiver operating characteristic procedure.

Authors:  O Castel; G Grollier; G Agius; G Toullat; Y de Rautlin de la Roy
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1990-09       Impact factor: 3.267

2.  Psychometric properties evaluation of the quality of life questionnaire of the European Foundation for Osteoporosis in Arabic population.

Authors:  Samira Rostom; Fadoua Allali; Rachid Bahiri; Redouane Abouqal; Najia Hajjaj-Hassouni
Journal:  Rheumatol Int       Date:  2011-04-09       Impact factor: 2.631

3.  An analysis of interleukin-8, interleukin-6 and C-reactive protein serum concentrations to predict fever, gram-negative bacteremia and complicated infection in neutropenic cancer patients.

Authors:  A Engel; E Mack; P Kern; W V Kern
Journal:  Infection       Date:  1998 Jul-Aug       Impact factor: 3.553

4.  Cultural adaptation and validation of the Quality of Life Questionnaire of the European Foundation for Osteoporosis (QUALEFFO) in a Mexican population.

Authors:  Esperanza Ramírez Pérez; Patricia Clark; Niels H Wacher; Mario H Cardiel; Ma del Pilar Diez García
Journal:  Clin Rheumatol       Date:  2007-07-24       Impact factor: 2.980

5.  Standardization of an enzyme immunoassay for human antibody to Haemophilus ducreyi.

Authors:  M Desjardins; C E Thompson; L G Filion; J O Ndinya-Achola; F A Plummer; A R Ronald; P Piot; D W Cameron
Journal:  J Clin Microbiol       Date:  1992-08       Impact factor: 5.948

6.  Identification of stage-related and severity-related biomarkers and exploration of immune landscape for Dengue by comprehensive analyses.

Authors:  Nan Xiong; Qiangming Sun
Journal:  Virol J       Date:  2022-08-02       Impact factor: 5.913

7.  Do pre-hospital anaesthesiologists reliably predict mortality using the NACA severity score? A retrospective cohort study.

Authors:  L Raatiniemi; K Mikkelsen; K Fredriksen; T Wisborg
Journal:  Acta Anaesthesiol Scand       Date:  2013-11       Impact factor: 2.105

8.  The Rothman Index Is Associated With Postdischarge Adverse Events After Hip Fracture Surgery in Geriatric Patients.

Authors:  Ryan P McLynn; Taylor D Ottesen; Nathaniel T Ondeck; Jonathan J Cui; Lee E Rubin; Jonathan N Grauer
Journal:  Clin Orthop Relat Res       Date:  2018-05       Impact factor: 4.176
  8 in total

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