Evaluating the incremental value of new biomarkers with integrated discrimination improvement

American Journal of Epidemiology

Volumn 174, Issue 3, 2011, Pages 364-374

  Kerr, Kathleen F ^a   McClelland, Robyn L ^a   Brown, Elizabeth R ^a   Lumley, Thomas ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

biological markers; bootstrap confidence interval; prediction; risk assessment; sampling distribution; sampling error; selection bias; type I error

Indexed keywords

BIOLOGICAL MARKER;

BIOMARKER; BOOTSTRAPPING; CONFIDENCE INTERVAL; DATA SET; DISCRIMINANT ANALYSIS; ERROR ANALYSIS; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREDICTION; RISK ASSESSMENT; SAMPLING; STATISTICAL DISTRIBUTION;

ARTICLE; INTEGRATED DISCRIMINATION IMPROVEMENT INDEX; MEASUREMENT ERROR; MONTE CARLO METHOD; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; PREDICTION; SAMPLING ERROR;

BIAS (EPIDEMIOLOGY); BIOLOGICAL MARKERS; DATA INTERPRETATION, STATISTICAL; HIV INFECTIONS; HUMANS; INFECTIOUS DISEASE TRANSMISSION, VERTICAL; LOGISTIC MODELS; MODELS, STATISTICAL; MONTE CARLO METHOD; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; ROC CURVE;

EID: 79960815320     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr086     Document Type: Article

References (19)

1. Gu W, Pepe M. Measures to summarize and compare the predictive capacity of markers. Int J Biostat. 2009;5(1):Article 27. (doi: 10.2202/1557-4679.1188).
2. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115(7): 928-935. (Pubitemid 46294733)
3. Pepe MS, Janes HE. Gauging the performance of SNPs, biomarkers, and clinical factors for predicting risk of breast cancer. J Natl Cancer Inst. 2008;100(14):978-979. (Pubitemid 352019802)
4. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27(2):157-172. (Pubitemid 351193639)
5. Dalton JE, Kattan MW. Recent advances in evaluating the prognostic value of a marker. Scand J Clin Lab Invest Suppl. 2010;242:59-62.
6. Chi YY, Zhou XH. The need for reorientation toward costeffective prediction: comments on 'evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond' by Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). Stat Med. 2008;27(2):182-184. (Pubitemid 351193639)
7. Cook NR. Comments on 'evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). Stat Med. 2008;27(2): 191-195. (Pubitemid 351193639)
8. Greenland S. The need for reorientation toward cost-effective prediction: comments on 'evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). Stat Med. 2008;27(2): 199-206. (Pubitemid 351193639)
9. Van Calster B, Van Huffel S. Integrated discrimination improvement and probability-sensitive AUC variants. Stat Med. 2010;29(2):318-319.
10. Mihaescu R, van Zitteren M, van Hoek M, et al. Improvement of risk prediction by genomic profiling: reclassification measures versus the area under the receiver operating characteristic curve. Am J Epidemiol. 2010;172(3):353-361.
11. Hlatky MA, Greenland P, Arnett DK, et al. Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association. American Heart Association Expert Panel on Subclinical Atherosclerotic Diseases and Emerging Risk Factors and the Stroke Council. Circulation. 2009;119(17):2408-2416.
12. Pepe MS, Feng Z, Gu JW. Comments on 'evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). Stat Med. 2008;27(2):173-181. (Pubitemid 351193639)
13. Taha TE, Brown ER, Hoffman IF, et al. A phase III clinical trial of antibiotics to reduce chorioamnionitis-related perinatal HIV-1 transmission. AIDS. 2006;20(9):1313-1321. (Pubitemid 44030381)
14. Chao C, Song Y, Cook N, et al. The lack of utility of circulating biomarkers of inflammation and endothelial dysfunction for type 2 diabetes risk prediction among postmenopausal women: the Women's Health Initiative Observational Study. Arch Intern Med. 2010;170(17):1557-1565.
15. Sandholt CH, Sparsø T, Grarup N, et al. Combined analyses of 20 common obesity susceptibility variants. Diabetes. 2010; 59(7):1667-1673.
16. Criqui MH, Ho LA, Denenberg JO, et al. Biomarkers in peripheral arterial disease patients and near- and longer-term mortality. J Vasc Surg. 2010;52(1):85-90.
17. Blankenberg S, Zeller T, Saarela O, et al. Contribution of 30 biomarkers to 10-year cardiovascular risk estimation in 2 population cohorts: the MONICA, Risk, Genetics, Archiving, and Monograph (MORGAM) Biomarker Project. Circulation. 2010;121(22):2388-2397.
18. Lin HJ, Lee BC, Ho YL, et al. Postprandial glucose improves the risk prediction of cardiovascular death beyond the metabolic syndrome in the nondiabetic population. Diabetes Care. 2009;32(9):1721-1726.
19. van der Vaart AW. Functional delta method. In: Asymptotic Statistics. Cambridge, United Kingdom: Cambridge University Press; 1998:291-303.