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Volumn 15, Issue 2, 2015, Pages 537-546

A general-purpose nomogram generator for predictive logistic regression models

Author keywords

Clinical nomogram; Graphics; Kattan nomogram; logistic; Logistic nomogram; logit; Nomogram; nomolog; st0391; xtline

Indexed keywords


EID: 85017306353     PISSN: 1536867X     EISSN: 15368734     Source Type: Journal    
DOI: 10.1177/1536867x1501500212     Document Type: Article
Times cited : (143)

References (11)
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    • Grimes, D.A.1
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    • Predicting the evolution of low back pain patients in routine clinical practice: Results from a registry within the Spanish National Health Service
    • Kovacs, F. M., J. Seco, A. Royuela, J. Corcoll Reixach, and V. Abraira. 2012. Predicting the evolution of low back pain patients in routine clinical practice: Results from a registry within the Spanish National Health Service. Spine Journal 12: 1008-1020.
    • (2012) Spine Journal , vol.12 , pp. 1008-1020
    • Kovacs, F.M.1    Seco, J.2    Royuela, A.3    Corcoll Reixach, J.4    Abraira, V.5
  • 10
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    • Commentary: Prognostic models: Clinically useful or quickly forgotten?
    • Wyatt, J. C., and D. G. Altman. 1995. Commentary: Prognostic models: Clinically useful or quickly forgotten? British Medical Journal 311: 1539.
    • (1995) British Medical Journal , vol.311 , pp. 1539
    • Wyatt, J.C.1    Altman, D.G.2
  • 11
    • 85019093756 scopus 로고    scopus 로고
    • Build prognostic nomograms for risk assessment using SAS ®. Paper 264-2. 013. SAS Global Forum 2013
    • Yang, D. 2013. Build prognostic nomograms for risk assessment using SAS ®. Paper 264-2. 013. SAS Global Forum 2013. http://support.sas.com/resources/papers/proceedings13/264-2.013.pdf
    • (2013)
    • Yang, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.