Beyond the usual prediction accuracy metrics: Reporting results for clinical decision making

Annals of Internal Medicine

Volumn 157, Issue 4, 2012, Pages 294-295

  Russell Localio, A ^a   Goodman, Steven ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; CALIBRATION; CANCER RISK; CANCER SCREENING; CLINICAL DECISION MAKING; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; EDITORIAL; FALSE POSITIVE RESULT; HUMAN; LUNG CANCER; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; RADIATION EXPOSURE; RECEIVER OPERATING CHARACTERISTIC; RISK BENEFIT ANALYSIS; SENSITIVITY AND SPECIFICITY;

EID: 84865624959     PISSN: 00034819     EISSN: 15393704     Source Type: Journal    
DOI: 10.7326/0003-4819-157-4-201208210-00014     Document Type: Editorial

References (13)

1. Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology. 2010;21:128-38.
2. Raji OY, Duffy SW, Agbaje OF, Baker SG, Christiani DC, Cassidy A, et al. Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer. A case-control and cohort validation study. Ann Intern Med. 2012;157:242-50.
3. Pauker SG, Kassirer JP. The threshold approach to clinical decision making. N Engl J Med. 1980;302:1109-17.
4. 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;27:199-206.
5. Hunink MG, Glasziou PP, Siegel JE, Weeks JC, Pliskin JS, Elstein AS, et al. Decision Making in Health and Medicine: Integrating Evidence and Values. Cambridge, UK: Cambridge Univ Pr; 2001.
6. Sox H, Marton KI, Blatt MA, Higgins MC. Medical Decision Making. Philadelphia: American Coll Physicians; 2006.
7. Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26:565-74.
8. Helfand M, Berg A, Flum D, Gabriel S, Normand SL, eds; PCORI Methodology Committee. Draft Methodology Report: Our Questions, Our Decisions: Standards for Patient-Centered Outcomes Research. Patient-Centered Outcomes Research Institute; 23 July 2012.
9. Pepe MS, Janes H, Longton G, Leisenring W, Newcomb P. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. Am J Epidemiol. 2004;159:882-90.
10. Software for Decision Curve Analysis. Memorial Sloan-Kettering Cancer Center; 2012. Accessed at www.mskcc.org/research/epidemiology-biostatistics/health-outcomes/collaborative/decision-curve-analysis on 16 July 2012.
11. 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 Med Inform Decis Mak. 2008;8:53.
12. Baker SG. Putting risk prediction in perspective: relative utility curves. J Natl Cancer Inst. 2009;101:1538-42.
13. Pepe M, Longton G, Janes H. Estimation and comparison of receiver operating characteristic curves. Stata J. 2009;9:1.