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Volumn , Issue , 2010, Pages 1775-1778

Non-parametric Kernel density estimation for the prediction of neoadjuvant chemotherapy outcomes

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN CLASSIFIER; INPUT SPACE; KERNEL DENSITY ESTIMATION; LOCAL MODEL; LOGISTIC REGRESSIONS; NON-PARAMETRIC; PATHOLOGIC COMPLETE RESPONSE (PCR); STATISTICAL MODELS;

EID: 78650811979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626748     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 7
    • 42149139055 scopus 로고    scopus 로고
    • Prediction of the outcome of preoperative chemotherapy in breast cancer by DNA probes that convey information on both complete and non complete responses
    • R.Natowicz and R.Incitti and E.G.Horta and B.Charles and P.Guinot and K.Yan and C.Coutant and F.Andre and L.Pusztai and R.Rouzier, Prediction of the outcome of preoperative chemotherapy in breast cancer by DNA probes that convey information on both complete and non complete responses, BMC Bioinformatics, vol. 9, 2008.
    • (2008) BMC Bioinformatics , vol.9
    • Natowicz, R.1    Incitti, R.2    Horta, E.G.3    Charles, B.4    Guinot, P.5    Yan, K.6    Coutant, C.7    Andre, F.8    Pusztai, L.9    Rouzier, R.10
  • 10
    • 0034832960 scopus 로고    scopus 로고
    • Logistic Regression in the medical literature: Standards for use and reporting, with particular attention to one medical domain
    • S.C.Bagley and H.White and B.A. Golomb, Logistic Regression in the medical literature: Standards for use and reporting, with particular attention to one medical domain, Journal of Clinical Epidemiology, vol. 54, 2001, pp. 979-985.
    • (2001) Journal of Clinical Epidemiology , vol.54 , pp. 979-985
    • Bagley, S.C.1    White, H.2    Golomb, B.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.