메뉴 건너뛰기




Volumn 13, Issue 1, 2013, Pages

Derivation and assessment of risk prediction models using case-cohort data

Author keywords

Cardiovascular disease; Case cohort; Discrimination; Reclassification; Risk prediction

Indexed keywords

ALGORITHM; ARTICLE; CASE CONTROL STUDY; COMPUTER SIMULATION; CORONARY ARTERY DISEASE; HUMAN; INCIDENCE; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; RISK FACTOR; STATISTICAL ANALYSIS; STATISTICAL MODEL; CORONARY DISEASE;

EID: 84885070420     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-13-113     Document Type: Article
Times cited : (40)

References (28)
  • 1
    • 33748092597 scopus 로고
    • A case-cohort design for epidemiologic cohort studies and disease prevention trials
    • 10.1093/biomet/73.1.1
    • A case-cohort design for epidemiologic cohort studies and disease prevention trials. Prentince RL, Biometrika 1986 73 1 11 10.1093/biomet/73.1.1
    • (1986) Biometrika , vol.73 , pp. 1-11
    • Prentince, R.L.1
  • 2
    • 0032718848 scopus 로고    scopus 로고
    • Analysis of case-cohort designs
    • DOI 10.1016/S0895-4356(99)00102-X, PII S089543569900102X
    • Analysis of case-cohort designs. Barlow WE, Ichikawa L, Rosner D, Izumi S, J Clin Epidemiol 1999 52 1165 1172 10.1016/S0895-4356(99)00102-X 10580779 (Pubitemid 29535416)
    • (1999) Journal of Clinical Epidemiology , vol.52 , Issue.12 , pp. 1165-1172
    • Barlow, W.E.1    Ichikawa, L.2    Rosner, D.3    Izumi, S.4
  • 4
    • 84859514741 scopus 로고    scopus 로고
    • Risk prediction measures for case-cohort and nested case-control designs: An application to cardiovascular disease
    • 10.1093/aje/kwr374 22396388
    • Risk prediction measures for case-cohort and nested case-control designs: an application to cardiovascular disease. Ganna A, Reilly M, de Faire U, Pedersen N, Magnusson P, Ingelsson E, Am J Epidemiol 2012 175 715 724 10.1093/aje/kwr374 22396388
    • (2012) Am J Epidemiol , vol.175 , pp. 715-724
    • Ganna, A.1    Reilly, M.2    De Faire, U.3    Pedersen, N.4    Magnusson, P.5    Ingelsson, E.6
  • 5
    • 33750070627 scopus 로고    scopus 로고
    • Estimation of time-dependent area under the ROC curve for long-term risk prediction
    • DOI 10.1002/sim.2299
    • Estimation of time-dependent area under the ROC curve for long-term risk prediction. Chambless LE, Diao G, Stat Med 2006 25 3474 3486 10.1002/sim.2299 16220486 (Pubitemid 44575164)
    • (2006) Statistics in Medicine , vol.25 , Issue.20 , pp. 3474-3486
    • Chambless, L.E.1    Diao, G.2
  • 7
    • 79958219634 scopus 로고    scopus 로고
    • Immunological and cardiometabolic risk factors in the prediction of type 2 diabetes and coronary events: MONICA/KORA Augsburg case-cohort study
    • 10.1371/journal.pone.0019852 21674000
    • Immunological and cardiometabolic risk factors in the prediction of type 2 diabetes and coronary events: MONICA/KORA Augsburg case-cohort study. Herder C, Baumert J, Zierer A, Roden M, Meisinger C, Karakas M, Chambless L, Rathmann W, Peters A, Koenig W, et al. PLoS One 2011 6 19852 10.1371/journal.pone.0019852 21674000
    • (2011) PLoS One , vol.6 , pp. 519852
    • Herder, C.1    Baumert, J.2    Zierer, A.3    Roden, M.4    Meisinger, C.5    Karakas, M.6    Chambless, L.7    Rathmann, W.8    Peters, A.9    Koenig, W.10
  • 11
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • DOI 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2- 4
    • Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Harrell FE Jr, Lee KL, Mark DB, Stat Med 1996 15 361 387 10.1002/(SICI)1097-0258(19960229)15: 4<361::AID-SIM168>3.0.CO;2-4 8668867 (Pubitemid 26072233)
    • (1996) Statistics in Medicine , vol.15 , Issue.4 , pp. 361-387
    • Harrell Jr., F.E.1    Lee, K.L.2    Mark, D.B.3
  • 12
    • 1442351098 scopus 로고    scopus 로고
    • A new measure of prognostic separation in survival data
    • DOI 10.1002/sim.1621
    • A new measure of prognostic separation in survival data. Royston P, Sauerbrei W, Stat Med 2004 23 723 748 10.1002/sim.1621 14981672 (Pubitemid 38279510)
    • (2004) Statistics in Medicine , vol.23 , Issue.5 , pp. 723-748
    • Royston, P.1    Sauerbrei, W.2
  • 13
    • 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
    • Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS, Stat Med 2008 27 157 172 10.1002/sim.2929 17569110 (Pubitemid 351193639)
    • (2008) Statistics in Medicine , vol.27 , Issue.2 , pp. 157-172
    • Pencina, M.J.1    D'Agostino Sr., R.B.2    D'Agostino Jr., R.B.3    Vasan, R.S.4
  • 14
    • 78649477601 scopus 로고    scopus 로고
    • Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
    • 10.1002/sim.4085 21204120
    • Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Pencina MJ, D'Agostino RB Sr, Steyerberg EW, Stat Med 2011 30 11 21 10.1002/sim.4085 21204120
    • (2011) Stat Med , vol.30 , pp. 11-21
    • Pencina, M.J.1    D'agostino Sr., R.B.2    Steyerberg, E.W.3
  • 15
    • 0036105801 scopus 로고    scopus 로고
    • Do lipids, blood pressure, diabetes, and smoking confer equal risk of myocardial infarction in women as in men? The Reykjavik study
    • DOI 10.1097/00043798-200204000-00001
    • Do lipids, blood pressure, diabetes, and smoking confer equal risk of myocardial infarction in women as in men? The Reykjavik Study. Jonsdottir LS, Sigfusson N, Gudnason V, Sigvaldason H, Thorgeirsson G, J Cardiovasc Risk 2002 9 67 76 10.1097/00043798-200204000-00001 12006913 (Pubitemid 34553585)
    • (2002) Journal of Cardiovascular Risk , vol.9 , Issue.2 , pp. 67-76
    • Jonsdottir, L.S.1    Sigfusson, N.2    Guonason, V.3    Sigvaldason, H.4    Thorgeirsson, G.5
  • 16
    • 0000336139 scopus 로고
    • Regression Models and Life-Tables
    • Regression Models and Life-Tables. Cox DR, J R Stat Soc Ser B Methodol 1972 37 187 220
    • (1972) J R Stat Soc ser B Methodol , vol.37 , pp. 187-220
    • Cox, D.R.1
  • 17
    • 0003042334 scopus 로고
    • Asymptotic distribution theory and efficiency results for case-cohort studies
    • 10.1214/aos/1176350691
    • Asymptotic distribution theory and efficiency results for case-cohort studies. Self SG, Prentice RL, Ann Stat 1988 16 64 81 10.1214/aos/1176350691
    • (1988) Ann Stat , vol.16 , pp. 64-81
    • Self, S.G.1    Prentice, R.L.2
  • 18
    • 34047167394 scopus 로고    scopus 로고
    • Computational methods for case-cohort studies
    • DOI 10.1016/j.csda.2006.12.028, PII S0167947306005068
    • Computational methods for case-cohort studies. Langholz B, Jiao J, Comput Stat Data Anal 2007 51 3737 3748 10.1016/j.csda.2006.12.028 (Pubitemid 46509540)
    • (2007) Computational Statistics and Data Analysis , vol.51 , Issue.8 , pp. 3737-3748
    • Langholz, B.1    Jiao, J.2
  • 20
    • 0033619170 scopus 로고    scopus 로고
    • Assessment and comparison of prognostic classification schemes for survival data
    • Assessment and comparison of prognostic classification schemes for survival data. Graf E, Schmoor C, Sauerbrei W, Schumacher M, Stat Med 1999 18 2529 2545 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2529::AID-SIM274>3. 0.CO;2-5 10474158 (Pubitemid 29423514)
    • (1999) Statistics in Medicine , vol.18 , Issue.17-18 , pp. 2529-2545
    • Graf, E.1    Schmoor, C.2    Sauerbrei, W.3    Schumacher, M.4
  • 21
    • 0029785607 scopus 로고    scopus 로고
    • Explained variation in survival analysis
    • DOI 10.1002/(SICI)1097-0258(19961015)15:19<1999::AID-SIM353>3.0. CO;2-D
    • Explained variation in survival analysis. Schemper M, Stare J, Stat Med 1996 15 1999 2012 10.1002/(SICI)1097-0258(19961015)15:19<1999::AID- SIM353>3.0.CO;2-D 8896135 (Pubitemid 26332293)
    • (1996) Statistics in Medicine , vol.15 , Issue.19 , pp. 1999-2012
    • Schemper, M.1    Stare, J.2
  • 22
    • 73849094087 scopus 로고    scopus 로고
    • Assessing the performance of prediction models: A framework for traditional and novel measures
    • 10.1097/EDE.0b013e3181c30fb2 20010215
    • Assessing the performance of prediction models: a framework for traditional and novel measures. Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, Pencina MJ, Kattan MW, Epidemiology 2010 21 128 138 10.1097/EDE.0b013e3181c30fb2 20010215
    • (2010) Epidemiology , vol.21 , pp. 128-138
    • Steyerberg, E.W.1    Vickers, A.J.2    Cook, N.R.3    Gerds, T.4    Gonen, M.5    Obuchowski, N.6    Pencina, M.J.7    Kattan, M.W.8
  • 23
    • 33749374399 scopus 로고    scopus 로고
    • Confidence intervals for rank statistics: Somers' D and extensions
    • Confidence intervals for rank statistics: Somers' D and extensions. Newson R, Stata J 2006 6 309 334 (Pubitemid 44505049)
    • (2006) Stata Journal , vol.6 , Issue.3 , pp. 309-334
    • Newson, R.1
  • 25
    • 84862502750 scopus 로고    scopus 로고
    • Lipid-related markers and cardiovascular disease prediction
    • The Emerging Risk Factors Collaboration 22797450
    • Lipid-related markers and cardiovascular disease prediction. The Emerging Risk Factors Collaboration, JAMA 2012 307 2499 2506 22797450
    • (2012) JAMA , vol.307 , pp. 2499-2506
  • 26
    • 84867164377 scopus 로고    scopus 로고
    • C-reactive protein, fibrinogen, and cardiovascular disease prediction
    • The Emerging Risk Factors Collaboration 23034020
    • C-reactive protein, fibrinogen, and cardiovascular disease prediction. The Emerging Risk Factors Collaboration, NEJM 2012 367 1310 1320 23034020
    • (2012) NEJM , vol.367 , pp. 1310-1320
  • 27
    • 27944450863 scopus 로고    scopus 로고
    • Concordance probability and discriminatory power in proportional hazards regression
    • DOI 10.1093/biomet/92.4.965
    • Concordance probability and discriminatory power in proportional hazards regression. Gonen M, Heller G, Biometrika 2005 92 965 970 10.1093/biomet/92.4. 965 (Pubitemid 41681247)
    • (2005) Biometrika , vol.92 , Issue.4 , pp. 965-970
    • Gonen, M.1    Heller, G.2
  • 28
    • 67651061641 scopus 로고    scopus 로고
    • Prognostic models with competing risks: Methods and application to coronary risk prediction
    • 10.1097/EDE.0b013e3181a39056 19367167
    • Prognostic models with competing risks: methods and application to coronary risk prediction. Wolbers M, Koller MT, Witteman JC, Steyerberg EW, Epidemiology 2009 20 555 561 10.1097/EDE.0b013e3181a39056 19367167
    • (2009) Epidemiology , vol.20 , pp. 555-561
    • Wolbers, M.1    Koller, M.T.2    Witteman, J.C.3    Steyerberg, E.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.