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Volumn 50, Issue 3, 2012, Pages 411-413

An appeal to medical journal editors: The need for a full description of laboratory methods and specimen handling in clinical study reports

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; BRAIN NATRIURETIC PEPTIDE; C REACTIVE PROTEIN; PROSTATE SPECIFIC ANTIGEN; TROPONIN I; TROPONIN T;

EID: 84860490669     PISSN: 14346621     EISSN: 14374331     Source Type: Journal    
DOI: 10.1515/cclm-2011-0904     Document Type: Article
Times cited : (12)

References (14)
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    • A new season for cardiac troponin assays: It's time to keep a scorecard
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  • 7
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    • Analytical characteristics of high-sensitivity cardiac troponin assays
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    • Apple, F.S.1
  • 10
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    • A critical appraisal of logistic regression-based nomograms, artificial neural networks, classification and regression-tree models, look-up tables and risk-group stratification models for prostate cancer
    • DOI 10.1111/j.1464-410X.2006.06694.x
    • Chun FK, Karakiewicz PI, Briganti A, Walz J, Kattan MW, Huland H, et al. A critical appraisal of logistic regression-based nomograms, artifi cial neural networks, classifi cation and regression- tree models, look-up tables and risk-group stratifi cation models for prostate cancer. Br J Urol Int 2007;99:794-800. (Pubitemid 46439569)
    • (2007) BJU International , vol.99 , Issue.4 , pp. 794-800
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  • 11
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    • Stephan, C.K.1
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    • 79959722977 scopus 로고    scopus 로고
    • Between-method differences in prostatespecifi c antigen assays affect prostate cancer risk prediction by nomograms
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    • Initial Biopsy Outcome Prediction-Head-to-Head Comparison of a Logistic Regression-Based Nomogram versus Artificial Neural Network
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.