메뉴 건너뛰기




Volumn 33, Issue 22, 2014, Pages 3946-3959

Correction to How to interpret a small increase in AUC with an additional risk prediction marker: Decision analysis comes through [Statist. Med. (2015) 33, 22, 3946-3959] DOI: 10.1002/sim.6195;How to interpret a small increase in AUC with an additional risk prediction marker: Decision analysis comes through

Author keywords

AUC; Cesarean section; Decision curves; Receiver operating characteristic curves; Relative utility curves

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; BIOSTATISTICS; DECISION MAKING; ELECTIVE INSTRUMENTAL DELIVERY; FEMALE; HUMAN; INSTRUMENTAL DELIVERY; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; MATHEMATICAL VARIABLE; NON ELECTIVE INSTRUMENTAL DELIVERY; PREDICTION; PREGNANCY; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SAMPLING BIAS; STATISTICAL MODEL; STRATIFIED SAMPLE; SURVIVAL RATE; CESAREAN SECTION; DECISION SUPPORT SYSTEM; KAPLAN MEIER METHOD; PROCEDURES;

EID: 84906944196     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6330     Document Type: Erratum
Times cited : (51)

References (31)
  • 3
    • 84899933356 scopus 로고    scopus 로고
    • Reclassification of predictions for uncovering subgroup specific improvement
    • Biswas S, Arum B, Parmigiani G. Reclassification of predictions for uncovering subgroup specific improvement. Statistics in Medicine 2014; 33: 1914-1927.
    • (2014) Statistics in Medicine , vol.33 , pp. 1914-1927
    • Biswas, S.1    Arum, B.2    Parmigiani, G.3
  • 4
    • 72649085927 scopus 로고    scopus 로고
    • Re: discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk
    • Spitz MR, Amos CI, D'Amelio A, Jr, Dong Q, Etzel C. Re: discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk. Journal of the National Cancer Institute 2009; 101: 1731-1732.
    • (2009) Journal of the National Cancer Institute , vol.101 , pp. 1731-1732
    • Spitz, M.R.1    Amos, C.I.2    D'Amelio, A.J.3    Dong, Q.4    Etzel, C.5
  • 8
    • 84899954547 scopus 로고    scopus 로고
    • Value of information methods for assessing a new diagnostic test
    • Chen MH, Willan AR. Value of information methods for assessing a new diagnostic test. Statistics in Medicine 2014; 33: 1801-1815.
    • (2014) Statistics in Medicine , vol.33 , pp. 1801-1815
    • Chen, M.H.1    Willan, A.R.2
  • 9
    • 33750905259 scopus 로고    scopus 로고
    • Decision curve analysis: a novel method for evaluating prediction models
    • Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Medical Decision Making 2006; 26(6): 565-574.
    • (2006) Medical Decision Making , vol.26 , Issue.6 , pp. 565-574
    • Vickers, A.J.1    Elkin, E.B.2
  • 10
    • 58149269742 scopus 로고    scopus 로고
    • Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers
    • Vickers AJ, Cronin AM, Elkin EB, Gonen M. Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers. BMC Medical Informatics and Decision Making 2008; 8: 53.
    • (2008) BMC Medical Informatics and Decision Making , vol.8 , pp. 53
    • Vickers, A.J.1    Cronin, A.M.2    Elkin, E.B.3    Gonen, M.4
  • 12
    • 72949090243 scopus 로고    scopus 로고
    • Putting risk prediction in perspective: relative utility curves
    • Baker SG. Putting risk prediction in perspective: relative utility curves. Journal of the National Cancer Institute 2009; 101: 1538-1542.
    • (2009) Journal of the National Cancer Institute , vol.101 , pp. 1538-1542
    • Baker, S.G.1
  • 14
    • 84874155874 scopus 로고    scopus 로고
    • Evaluating a new marker for risk prediction: decision analysis to the rescue
    • Baker SG, Kramer BS. Evaluating a new marker for risk prediction: decision analysis to the rescue. Discovery Medicine 2012; 14: 181-188.
    • (2012) Discovery Medicine , vol.14 , pp. 181-188
    • Baker, S.G.1    Kramer, B.S.2
  • 15
    • 77956632782 scopus 로고    scopus 로고
    • Transparency and reproducibility in data analysis: the prostate cancer prevention trial
    • Baker SG, Darke AK, Pinsky P, Parnes HL, Kramer BS. Transparency and reproducibility in data analysis: the prostate cancer prevention trial. Biostatistics 2010; 11: 413-418.
    • (2010) Biostatistics , vol.11 , pp. 413-418
    • Baker, S.G.1    Darke, A.K.2    Pinsky, P.3    Parnes, H.L.4    Kramer, B.S.5
  • 17
    • 0033936550 scopus 로고    scopus 로고
    • Time dependent ROC curves for censored survival data and diagnostic markers
    • Heagerty PJ, Lumley T, Pepe MS. Time dependent ROC curves for censored survival data and diagnostic markers. Biometrics 2000; 56: 337-344.
    • (2000) Biometrics , vol.56 , pp. 337-344
    • Heagerty, P.J.1    Lumley, T.2    Pepe, M.S.3
  • 18
    • 80052773972 scopus 로고    scopus 로고
    • Comparing costs associated with risk stratification rules for t-year survival
    • Cai T, Tian L, Lloyd-Jones DM. Comparing costs associated with risk stratification rules for t-year survival. Biostatistics 2011; 12: 597-609.
    • (2011) Biostatistics , vol.12 , pp. 597-609
    • Cai, T.1    Tian, L.2    Lloyd-Jones, D.M.3
  • 19
    • 39849093135 scopus 로고    scopus 로고
    • The Skill Plot: a graphical technique for evaluating continuous diagnostic tests
    • Briggs WM, Zaretzki R. The Skill Plot: a graphical technique for evaluating continuous diagnostic tests. Biometrics 2008; 64: 250-256.
    • (2008) Biometrics , vol.64 , pp. 250-256
    • Briggs, W.M.1    Zaretzki, R.2
  • 20
    • 0001100430 scopus 로고
    • The numerical measure of the success of predictions
    • Peirce CS. The numerical measure of the success of predictions. Science 1884; 4: 453-454.
    • (1884) Science , vol.4 , pp. 453-454
    • Peirce, C.S.1
  • 23
    • 0018079655 scopus 로고
    • Basic principles of ROC analysis
    • Metz CE. Basic principles of ROC analysis. Seminars in Nuclear Medicine 1978; 8: 283-298.
    • (1978) Seminars in Nuclear Medicine , vol.8 , pp. 283-298
    • Metz, C.E.1
  • 24
    • 22144490275 scopus 로고    scopus 로고
    • On criteria for evaluating models for absolute risk
    • Gail MH, Pfeiffer RM. On criteria for evaluating models for absolute risk. Biostatistics 2005; 6: 227-239.
    • (2005) Biostatistics , vol.6 , pp. 227-239
    • Gail, M.H.1    Pfeiffer, R.M.2
  • 25
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for an imprecise environment
    • Provost F, Fawcett T. Robust classification for an imprecise environment. Machine Learning 2001; 42: 203-231.
    • (2001) Machine Learning , vol.42 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 26
    • 69549133517 scopus 로고    scopus 로고
    • Measuring classifier performance: a coherent alternative to the area under the ROC curve
    • Hand DJ. Measuring classifier performance: a coherent alternative to the area under the ROC curve. Machine Learning 2009; 77: 103-123.
    • (2009) Machine Learning , vol.77 , pp. 103-123
    • Hand, D.J.1
  • 27
    • 84898842206 scopus 로고    scopus 로고
    • Net risk reclassification p-values: valid or misleading?
    • Pepe MS, Janes H, Li C. Net risk reclassification p-values: valid or misleading? Journal of National Cancer Institute 2014; 106(4): dju041.
    • (2014) Journal of National Cancer Institute , vol.106 , Issue.4 , pp. 041
    • Pepe, M.S.1    Janes, H.2    Li, C.3
  • 28
    • 84893257511 scopus 로고    scopus 로고
    • Net reclassification improvement: computation, interpretation, and controversies: a literature review and clinician's guide
    • Leening MJG, Vedder MMJ, Witteman JCM, Pencina MJ, Steyerberg EW. Net reclassification improvement: computation, interpretation, and controversies: a literature review and clinician's guide. Annals of Internal Medicine 2014; 160: 122-131.
    • (2014) Annals of Internal Medicine , vol.160 , pp. 122-131
    • Leening, M.J.G.1    Vedder, M.M.J.2    Witteman, J.C.M.3    Pencina, M.J.4    Steyerberg, E.W.5
  • 29
    • 75749152070 scopus 로고    scopus 로고
    • Reclassification calculations for persons with incomplete follow-up
    • Steyerberg EW, Pencina MJ. Reclassification calculations for persons with incomplete follow-up. Annals of Internal Medicine 2010; 152: 195-196.
    • (2010) Annals of Internal Medicine , vol.152 , pp. 195-196
    • Steyerberg, E.W.1    Pencina, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.