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Volumn 53, Issue 1, 2014, Pages

Information graphs for epidemiological applications of the Kullback-Leibler divergence

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BAYES THEOREM; COMPUTER ANALYSIS; COMPUTER GRAPHICS; DIAGNOSTIC TEST; EPIDEMIOLOGY; HEALTH STATUS INDICATOR; HUMAN; MEDICAL INFORMATICS; PREDICTIVE VALUE; REFERENCE VALUE; STATISTICAL DISTRIBUTION; STATISTICS AND NUMERICAL DATA;

EID: 84892410459     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1627066     Document Type: Letter
Times cited : (5)

References (8)
  • 1
    • 0032997955 scopus 로고    scopus 로고
    • Selecting diagnostic tests for ruling out or ruling in disease: The use of the Kullback-Leibler distance
    • Lee W-C. Selecting diagnostic tests for ruling out or ruling in disease: the use of the Kullback-Leibler distance. Int J Epidemiol 1999; 28: 521-525.
    • (1999) Int J Epidemiol , vol.28 , pp. 521-525
    • Lee, W.-C.1
  • 2
    • 0033054335 scopus 로고    scopus 로고
    • Relative entropy as a measure of diagnostic information
    • Benish WA. Relative entropy as a measure of diagnostic information. Med Decis Making 1999; 19: 202-206.
    • (1999) Med Decis Making , vol.19 , pp. 202-206
    • Benish, W.A.1
  • 4
    • 0036100330 scopus 로고    scopus 로고
    • The use of information graphs to evaluate and compare diagnostic tests
    • Benish WA. The use of information graphs to evaluate and compare diagnostic tests. Methods Inf Med 2002; 41: 114-118.
    • (2002) Methods Inf Med , vol.41 , pp. 114-118
    • Benish, W.A.1
  • 7
    • 49949144765 scopus 로고
    • The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming
    • Bregman LM. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming. Zh vychisl Mat mat Fiz 1967; 7: 200-217.
    • (1967) Zh vychisl Mat mat Fiz , vol.7 , pp. 200-217
    • Bregman, L.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.