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JAMA - Journal of the American Medical Association
Volumn 317, Issue 10, 2017, Pages 1068-1069
Logistic regression diagnostics understanding how well a model predicts outcomes
Author keywords

[No Author keywords available]
Indexed keywords

HUMAN; LOGISTIC REGRESSION ANALYSIS; OUTCOME ASSESSMENT; POSTCONCUSSION SYNDROME; PREDICTION; PREDICTOR VARIABLE; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; REVIEW; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDITY; REGRESSION ANALYSIS;
EID: 85015584942     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2016.20441     Document Type: Review
Times cited : (135)
References (10)
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    • Hanley, J.A.1    McNeil, B.J.2
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    • 84941662354 scopus 로고    scopus 로고
    • Evaluating discrimination of risk prediction models: The C statistic
    • Pencina MJ, D'Agostino RB Sr. Evaluating discrimination of risk prediction models: the C statistic. JAMA. 2015;314(10):1063-1064
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    • Cameron, A.C.1    Windmeijer, F.A.G.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.