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Volumn 229, Issue 2, 2003, Pages 305-310

Primer on Multiple Regression Models for Diagnostic Imaging Research

Author keywords

Statistical analysis

Indexed keywords

ARTICLE; DATA ANALYSIS; DIAGNOSTIC IMAGING; LOGISTIC REGRESSION ANALYSIS; MEDICAL RESEARCH; MULTIPLE REGRESSION; PRIORITY JOURNAL; RESTENOSIS; STATISTICAL MODEL;

EID: 0142148024     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2292030324     Document Type: Article
Times cited : (33)

References (11)
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  • 3
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    • Blackmore, C.C.1    Emerson, S.2    Mann, F.3    Koepsell, T.4
  • 5
    • 0038287894 scopus 로고    scopus 로고
    • Correlation and simple linear regression
    • Zou KH, Tuncali K, Silverman SG. Correlation and simple linear regression. Radiology 2003; 227:617-628.
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  • 7
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    • Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
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    • D'Agostino R.B., Jr.1
  • 9
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    • Clinical and quantitative coronary angiographic predictors of coronary restenosis: A comparative analysis from the balloon-to-stent era
    • Mercado N, Boersma E, Wijns W, et al. Clinical and quantitative coronary angiographic predictors of coronary restenosis: a comparative analysis from the balloon-to-stent era. J Am Coll Cardiol 2001; 38: 645-652.
    • (2001) J Am Coll Cardiol , vol.38 , pp. 645-652
    • Mercado, N.1    Boersma, E.2    Wijns, W.3
  • 10
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    • A general regression methodology for ROC curve estimation
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  • 11
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    • Ordinal regression methodology for ROC curves derived from correlated data
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    • Toledano, A.1    Gatsonis, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.