Prospective evaluation of logistic regression models for the diagnosis of ovarian cancer

Obstetrics and Gynecology

Volumn 96, Issue 1, 2000, Pages 75-80

  Aslam, Naaila ^a   Banerjee, Saikat ^b   Carr, John V ^c   Savvas, Michael ^d   Hooper, Richard ^e   Jurkovic, Davor ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b Greenwich District Hospital   (United Kingdom)

^c UNIVERSITY HOSPITAL LEWISHAM   (United Kingdom)

^d Guy's King's ^*  (United Kingdom)

^e KING S COLLEGE HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CA 125 ANTIGEN;

ADULT; AGED; ARTICLE; ASCITES; CANCER CLASSIFICATION; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DOPPLER FLOWMETRY; FEMALE; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MODEL; OVARY CANCER; OVARY TUMOR; PRIORITY JOURNAL; REGRESSION ANALYSIS; ULTRASOUND;

ADULT; AGED; CA-125 ANTIGEN; EVALUATION STUDIES; FEMALE; HUMANS; LOGISTIC MODELS; MIDDLE AGED; NEOPLASM STAGING; OVARIAN NEOPLASMS; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 0034116904     PISSN: 00297844     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0029-7844(00)00835-8     Document Type: Article

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