메뉴 건너뛰기




Volumn 32, Issue 9, 2013, Pages 1467-1482

Testing for improvement in prediction model performance

Author keywords

Biomarker; Logistic regression; Receiver operating characteristic curve; Risk factors; Risk reclassification

Indexed keywords

BIOLOGICAL MARKER; CREATININE;

EID: 84876321464     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5727     Document Type: Article
Times cited : (181)

References (45)
  • 2
    • 0035819922 scopus 로고    scopus 로고
    • Validating and improving models for projecting the absolute risk of breast cancer
    • DOI: 10.1093/jnci/93.5.334.
    • Gail MH, Costantino JP. Validating and improving models for projecting the absolute risk of breast cancer. Journal of the National Cancer Institute 2001; 93:334-335. DOI: 10.1093/jnci/93.5.334.
    • (2001) Journal of the National Cancer Institute , vol.93 , pp. 334-335
    • Gail, M.H.1    Costantino, J.P.2
  • 6
    • 47649099448 scopus 로고    scopus 로고
    • Probability discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk
    • DOI: 10.1093/jnci/djn180.
    • Gail MH. Probability discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk. Journal of the National Cancer Institute 2008; 100:1037-1041. DOI: 10.1093/jnci/djn180.
    • (2008) Journal of the National Cancer Institute , vol.100 , pp. 1037-1041
    • Gail, M.H.1
  • 7
    • 67649668769 scopus 로고    scopus 로고
    • Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model
    • DOI: 10.1093/jnci/djp130.
    • Gail MH. Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model. Journal of the National Cancer Institute 2009; 101:959-963. DOI: 10.1093/jnci/djp130.
    • (2009) Journal of the National Cancer Institute , vol.101 , pp. 959-963
    • Gail, M.H.1
  • 8
  • 9
    • 72249113124 scopus 로고    scopus 로고
    • Assessment of claims of improved prediction beyond the Framingham risk score
    • DOI: 10.1001/jama.2009.1757.
    • Tzoulaki I, Liberopoulos G, Ioannidis JP. Assessment of claims of improved prediction beyond the Framingham risk score. Journal of the American Medical Association 2009; 302:2345-2352. DOI: 10.1001/jama.2009.1757.
    • (2009) Journal of the American Medical Association , vol.302 , pp. 2345-2352
    • Tzoulaki, I.1    Liberopoulos, G.2    Ioannidis, J.P.3
  • 11
    • 77949694140 scopus 로고    scopus 로고
    • The potential of genes and other markers to inform about risk
    • DOI: 10.1158/1055-9965.EPI-09-0510.
    • Pepe MS, Gu JW, Morris DE. The potential of genes and other markers to inform about risk. Cancer Epidemiology Biomarkers and Prevention 2010; 3:655-665. DOI: 10.1158/1055-9965.EPI-09-0510.
    • (2010) Cancer Epidemiology Biomarkers and Prevention , vol.3 , pp. 655-665
    • Pepe, M.S.1    Gu, J.W.2    Morris, D.E.3
  • 12
    • 38849091997 scopus 로고    scopus 로고
    • Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond
    • DOI: 10.1002/sim.2929.
    • Pencina MJ, D'Agostino RB, Sr, D'Agostino RB, Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Statistics in Medicine 2008; 27:157-172. DOI: 10.1002/sim.2929.
    • (2008) Statistics in Medicine , vol.27 , pp. 157-172
    • Pencina, M.J.1    D'Agostino Sr, R.B.2    D'Agostino Jr, R.B.3    Vasan, R.S.4
  • 13
    • 78649477601 scopus 로고    scopus 로고
    • Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
    • DOI: 10.1002/sim.4085.
    • Pencina MJ, D'Agostino RB, Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Statistics in Medicine 2010; 30:11-21. DOI: 10.1002/sim.4085.
    • (2010) Statistics in Medicine , vol.30 , pp. 11-21
    • Pencina, M.J.1    D'Agostino Sr, R.B.2    Steyerberg, E.W.3
  • 14
    • 79952228087 scopus 로고    scopus 로고
    • Performance of reclassification statistics in comparing risk prediction models
    • DOI: 10.1002/bimj.201000078.
    • Cook NR, Paynter NP. Performance of reclassification statistics in comparing risk prediction models. Biometrical Journal 2011; 53:237-258. DOI: 10.1002/bimj.201000078.
    • (2011) Biometrical Journal , vol.53 , pp. 237-258
    • Cook, N.R.1    Paynter, N.P.2
  • 15
    • 66649130580 scopus 로고    scopus 로고
    • Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures
    • DOI: 10.1059/0003-4819-150-11-200906020-00007.
    • Cook NR, Ridker PM. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures. Annals of Internal Medicine 2009; 150:795-802. DOI: 10.1059/0003-4819-150-11-200906020-00007.
    • (2009) Annals of Internal Medicine , vol.150 , pp. 795-802
    • Cook, N.R.1    Ridker, P.M.2
  • 16
    • 79957789277 scopus 로고    scopus 로고
    • Problems with risk reclassification methods for evaluating prediction models
    • DOI: 10.1093/aje/kwr013.
    • Pepe MS. Problems with risk reclassification methods for evaluating prediction models. American Journal of Epidemiology 2011; 173:1327-1335. DOI: 10.1093/aje/kwr013.
    • (2011) American Journal of Epidemiology , vol.173 , pp. 1327-1335
    • Pepe, M.S.1
  • 17
    • 79251564078 scopus 로고    scopus 로고
    • One statistical test is sufficient for assessing new predictive markers
    • DOI: 10.1186/1471-2288-11-13.
    • Vickers AJ, Cronin AM, Begg CB. One statistical test is sufficient for assessing new predictive markers. BMC Medical Research Methodology 2011; 11:13. DOI: 10.1186/1471-2288-11-13.
    • (2011) BMC Medical Research Methodology , vol.11 , pp. 13
    • Vickers, A.J.1    Cronin, A.M.2    Begg, C.B.3
  • 18
    • 84866436976 scopus 로고    scopus 로고
    • Misuse of DeLong test to compare AUCs for nested models
    • DOI: 10.1002/sim.5328.
    • Demler OV, Pencina MJ, D'Agostino RB, Sr. Misuse of DeLong test to compare AUCs for nested models. Statistics in Medicine 2012; 31(23):2577-2587. DOI: 10.1002/sim.5328.
    • (2012) Statistics in Medicine , vol.31 , Issue.23 , pp. 2577-2587
    • Demler, O.V.1    Pencina, M.J.2    D'Agostino Sr, R.B.3
  • 20
    • 66249139548 scopus 로고    scopus 로고
    • Adjusting for covariate effects on classification accuracy using the covariate adjusted ROC curve
    • DOI: 10.1093/biomet/asp002.
    • Janes H, Pepe MS. Adjusting for covariate effects on classification accuracy using the covariate adjusted ROC curve. Biometrika 2009; 96:371-382. DOI: 10.1093/biomet/asp002.
    • (2009) Biometrika , vol.96 , pp. 371-382
    • Janes, H.1    Pepe, M.S.2
  • 21
    • 39849088138 scopus 로고    scopus 로고
    • Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental value
    • DOI: 10.1111/j.1541-0420.2007.00823.x.
    • Janes H, Pepe MS. Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental value. Biometrics 2008; 64:1-9. DOI: 10.1111/j.1541-0420.2007.00823.x.
    • (2008) Biometrics , vol.64 , pp. 1-9
    • Janes, H.1    Pepe, M.S.2
  • 22
    • 36749078166 scopus 로고    scopus 로고
    • Evaluating the predictiveness of a continuous marker
    • DOI: 10.1111/j.1541-0420.2007.00814.x.
    • Huang Y, Pepe MS, Feng Z. Evaluating the predictiveness of a continuous marker. Biometrics 2007; 63:1181-1188. DOI: 10.1111/j.1541-0420.2007.00814.x.
    • (2007) Biometrics , vol.63 , pp. 1181-1188
    • Huang, Y.1    Pepe, M.S.2    Feng, Z.3
  • 23
    • 55249089286 scopus 로고    scopus 로고
    • Evaluating new cardiovascular risk factors for risk stratification
    • DOI: 10.1111/j.1751-7176.2008.07814.x.
    • Stern RH. Evaluating new cardiovascular risk factors for risk stratification. Journal of Clinical Hypertension 2008; 10:485-488. DOI: 10.1111/j.1751-7176.2008.07814.x.
    • (2008) Journal of Clinical Hypertension , vol.10 , pp. 485-488
    • Stern, R.H.1
  • 24
    • 38849179371 scopus 로고    scopus 로고
    • Invited commentary on 'Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond'
    • DOI: 10.1002/sim.2991.
    • Pepe MS, Feng Z, Gu JW. Invited commentary on 'Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond'. Statistics in Medicine 2008; 27:173-181. DOI: 10.1002/sim.2991.
    • (2008) Statistics in Medicine , vol.27 , pp. 173-181
    • Pepe, M.S.1    Feng, Z.2    Gu, J.W.3
  • 25
    • 70350457746 scopus 로고    scopus 로고
    • Measures to summarize and compare the predictive capacity of markers
    • article 27, DOI: 10.2202/1557-4679.1188.
    • Gu J W, Pepe MS. Measures to summarize and compare the predictive capacity of markers. International Journal of Biostatistics 2009; 5(1):article 27. DOI: 10.2202/1557-4679.1188.
    • (2009) International Journal of Biostatistics , vol.5 , Issue.1
    • Gu, J.W.1    Pepe, M.S.2
  • 26
    • 0035582323 scopus 로고    scopus 로고
    • The binary regression quantile plot: assessing the importance of predictors in binary regression visually
    • DOI: 10.1002/1521-4036(200102)43:1<5: AID-BIMJ5>3.0.CO;2-6.
    • Bura E, Gastwirth JL. The binary regression quantile plot: assessing the importance of predictors in binary regression visually. Biometrical Journal 2001; 43:5-21. DOI: 10.1002/1521-4036(200102)43:1<5: AID-BIMJ5>3.0.CO;2-6.
    • (2001) Biometrical Journal , vol.43 , pp. 5-21
    • Bura, E.1    Gastwirth, J.L.2
  • 27
    • 33750905259 scopus 로고    scopus 로고
    • Decision curve analysis: a novel method for evaluating prediction models
    • DOI: 10.1177/0272989X06295361.
    • Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Medical Decision Making 2006; 26:565-574. DOI: 10.1177/0272989X06295361.
    • (2006) Medical Decision Making , vol.26 , pp. 565-574
    • Vickers, A.J.1    Elkin, E.B.2
  • 28
    • 72949090243 scopus 로고    scopus 로고
    • Putting risk prediction in perspective: relative utility curves
    • DOI: 10.1093/jnci/djp353.
    • Baker SG. Putting risk prediction in perspective: relative utility curves. Journal of the National Cancer Institute 2009; 101:1538-1542. DOI: 10.1093/jnci/djp353.
    • (2009) Journal of the National Cancer Institute , vol.101 , pp. 1538-1542
    • Baker, S.G.1
  • 32
    • 0036713833 scopus 로고    scopus 로고
    • Combining several screening tests: optimality of the risk score
    • DOI: 10.1111/j.0006-341X.2002.00657.x.
    • McIntosh MS, Pepe MS. Combining several screening tests: optimality of the risk score. Biometrics 2002; 58:657-664. DOI: 10.1111/j.0006-341X.2002.00657.x.
    • (2002) Biometrics , vol.58 , pp. 657-664
    • McIntosh, M.S.1    Pepe, M.S.2
  • 33
    • 22144490275 scopus 로고    scopus 로고
    • On criteria for evaluating models of absolute risk
    • DOI: 10.1093/biostatistics/kxi005.
    • Gail MH, Pfeiffer RM. On criteria for evaluating models of absolute risk. Biostatistics 2005; 6:227-239. DOI: 10.1093/biostatistics/kxi005.
    • (2005) Biostatistics , vol.6 , pp. 227-239
    • Gail, M.H.1    Pfeiffer, R.M.2
  • 34
    • 62549148016 scopus 로고    scopus 로고
    • A parametric ROC model based approach for evaluating the predictiveness of continuous markers in case-control studies
    • DOI: 10.1111/j.1541-0420.2009.01201.x.
    • Huang Y, Pepe MS. A parametric ROC model based approach for evaluating the predictiveness of continuous markers in case-control studies. Biometrics 2009; 65:1133-1144. DOI: 10.1111/j.1541-0420.2009.01201.x.
    • (2009) Biometrics , vol.65 , pp. 1133-1144
    • Huang, Y.1    Pepe, M.S.2
  • 35
    • 0023710206 scopus 로고
    • Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
    • DOI: 10.1111/j.0006-341X.2002.00657.x.
    • DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988; 44:837-845. DOI: 10.1111/j.0006-341X.2002.00657.x.
    • (1988) Biometrics , vol.44 , pp. 837-845
    • DeLong, E.R.1    DeLong, D.M.2    Clarke-Pearson, D.L.3
  • 36
    • 68149124197 scopus 로고    scopus 로고
    • Estimation and comparison of receiver operating characteristic curves
    • Pepe M, Longton G, Janes H. Estimation and comparison of receiver operating characteristic curves. Stata Journal 2009; 9:1-16. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2774909/pdf/nihms90148.pdf.
    • (2009) Stata Journal , vol.9 , pp. 1-16
    • Pepe, M.1    Longton, G.2    Janes, H.3
  • 37
    • 79960815320 scopus 로고    scopus 로고
    • Evaluating the incremental value of new biomarkers with integrated discrimination improvement
    • DOI: 10.1093/aje/kwr086.
    • Kerr KF, McClelland RL, Brown ER, Lumley T. Evaluating the incremental value of new biomarkers with integrated discrimination improvement. American Journal of Epidemiology 2011; 174:364-374. DOI: 10.1093/aje/kwr086.
    • (2011) American Journal of Epidemiology , vol.174 , pp. 364-374
    • Kerr, K.F.1    McClelland, R.L.2    Brown, E.R.3    Lumley, T.4
  • 41
    • 0031006441 scopus 로고    scopus 로고
    • Comparison of goodness-of-fit tests for the logistic regression model
    • DOI: 10.1002/(SICI)1097-0258(19970515)16:9<965: AID-SIM509>3.0.CO;2-O.
    • Hosmer DW, Hosmer T, Le Cessie S, Lemeshow SA. Comparison of goodness-of-fit tests for the logistic regression model. Statistics in Medicine 1997; 16:965-980. DOI: 10.1002/(SICI)1097-0258(19970515)16:9<965: AID-SIM509>3.0.CO;2-O.
    • (1997) Statistics in Medicine , vol.16 , pp. 965-980
    • Hosmer, D.W.1    Hosmer, T.2    Le Cessie, S.3    Lemeshow, S.A.4
  • 43
    • 0034736564 scopus 로고    scopus 로고
    • Validation, calibration, revision and combination of prognostic survival models
    • DOI: 10.1002/1097-0258(20001230)19:24<3401: AID-SIM554>3.0.CO;2-2.
    • van Houwelingen HC. Validation, calibration, revision and combination of prognostic survival models. Statistics in Medicine 2000; 19:3401-3415. DOI: 10.1002/1097-0258(20001230)19:24<3401: AID-SIM554>3.0.CO;2-2.
    • (2000) Statistics in Medicine , vol.19 , pp. 3401-3415
    • van Houwelingen, H.C.1
  • 44
    • 80052801788 scopus 로고    scopus 로고
    • Two criteria for evaluating risk prediction models
    • DOI: 10.1111/j.1541-0420.2010.01523.x.
    • Pfeiffer RM, Gail MH. Two criteria for evaluating risk prediction models. Biometrics 2011; 67:1057-1065. DOI: 10.1111/j.1541-0420.2010.01523.x.
    • (2011) Biometrics , vol.67 , pp. 1057-1065
    • Pfeiffer, R.M.1    Gail, M.H.2
  • 45
    • 84855240264 scopus 로고    scopus 로고
    • A framework for quantifying net benefits of alternative prognostic models
    • Emerging Risk Factors Collaboration. DOI: 10.1002/sim.4362.
    • Rapsomaniki E, White IR, Wood AM, Thompson SG, Emerging Risk Factors Collaboration. A framework for quantifying net benefits of alternative prognostic models. Statistics in Medicine 2012; 31:114-130. DOI: 10.1002/sim.4362.
    • (2012) Statistics in Medicine , vol.31 , pp. 114-130
    • Rapsomaniki, E.1    White, I.R.2    Wood, A.M.3    Thompson, S.G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.