Flexible recalibration of binary clinical prediction models

Statistics in Medicine

Volumn 32, Issue 2, 2013, Pages 282-289

  Dalton, Jarrod E ^a,b  

^a LERNER RESEARCH INSTITUTE   (United States)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

Author keywords

Binary outcomes; Calibration; Logistic regression; Prediction accuracy

Indexed keywords

ACCURACY; ARTICLE; CALIBRATION; LOGISTIC REGRESSION ANALYSIS; METHODOLOGY; PREDICTION; PROBABILITY; PROPORTIONAL HAZARDS MODEL; STATISTICAL ANALYSIS; STATISTICAL MODEL;

CALIBRATION; HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE;

EID: 84871295929     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5544     Document Type: Article

References (26)

1. 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. American journal of epidemiology 2004; 159(9):882-890.
2. Dalton JE, Kattan MW. Recent advances in evaluating the prognostic value of a marker. Scandinavian Journal of Clinical and Laboratory Investigation Supplementum 2010; 242:59-62.
3. Zhou Xh, McClish DK, Obuchowski NA. Statistical Methods in Diagnostic Medicine, 2nded., Wiley series in probability and statistics. Wiley: Hoboken, N.J., 2011.
4. Steyerberg EW. Clinical Prediction Models. Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA, 2009. [electronic resource]. by Ewout W. Steyerberg. Statistics for Biology and Health.
5. Harrell FE. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis, Springer series in statistics. Springer: New York, 2001.
6. Marshall G, Grover FL, Henderson WG, Hammermeister KE. Assessment of predictive models for binary outcomes: an empirical approach using operative death from cardiac surgery. Statistics in Medicine 1994; 13(15):1501-1511.
7. Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, Pencina MJ, Kattan MW. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 2010; 21(1):128-138.
8. LeCessie S, van Houwelingen J. A goodness-of-fit test for binary regression models, based on smoothing methods. Biometrics 1991; 47(4):1267-1282.
9. Pencina MJ, D'Agostino Sr RB, D'Agostino Jr RB, 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(2):157-172.
10. VanHouwelingen JC, LeCessie S. Predictive value of statistical models. Statistics in Medicine 1990; 9(11):1303-1325.
11. Diamond GA. What price perfection? Calibration and discrimination of clinical prediction models. Journal of Clinical Epidemiology 1992; 45(1):85-89.
12. Khuri SF, Daley J, Henderson W, Hur K, Gibbs JO, Barbour G, Demakis J, Irvin 3rd G, Stremple JF, Grover F, et al. Risk adjustment of the postoperative mortality rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study. Journal of the American College of Surgeons 1997; 185(4):315-327.
13. Daley J, Khuri SF, Henderson W, Hur K, Gibbs JO, Barbour G, Demakis J, Irvin 3rd G, Stremple JF, Grover F, et al. Risk adjustment of the postoperative morbidity rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study. Journal of the American College of Surgeons 1997; 185(4):328-340.
14. Johantgen M, Elixhauser A, Bali JK, Goldfarb M, Harris DR. Quality indicators using hospital discharge data: state and national applications. The Joint Commission Journal on Quality Improvement 1998; 24(2):88-105.
15. Sessler DI, Sigl JC, Manberg PJ, Kelley SD, Schubert A, Chamoun NG. Broadly applicable risk stratification system for predicting duration of hospitalization and mortality. Anesthesiology 2010; 113(5):1026-1037.
16. Dalton JE, Kurz A, Turan A, Mascha EJ, Sessler DI, Saager L. Development and validation of a risk quantification index for 30-day postoperative mortality and morbidity in noncardiac surgical patients. Anesthesiology 2011; 114(6):1336-1344.
17. Nashef SAM, Roques F, Michel P, Gauducheau E, Lemeshow S, Salamon R. European system for cardiac operative risk evaluation (Euroscore). European Journal of Cardio-Thoracic Surgery 1999; 16(1):9-13.
18. Rosenthal MB. What works in market-oriented health policy? New England Journal of Medicine 2009; 360(21):2157-2160.
19. Hosmer DW, Lemeshow S. Applied Logistic Regression, 2nded., Wiley series in probability and statistics. Texts and references section. Wiley: New York, 2000.
20. Cox DR. Two further applications of a model for binary regression. Biometrika 1958; 45(3/4):562-565.
21. Miller ME, Langefeld CD, Tierney WM, Hui SL, McDonald CJ. Validation of probabilistic predictions. Medical Decision Making 1993; 13(1):49-57.
22. Hastie T, Tibshirani R, Friedman JH. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edn., Springer series in statistics, Springer: New York, NY, 2009.
23. Pawitan Y. In All Likelihood: Statistical Modelling and Inference Using Likelihood. Oxford University Press: Oxford, 2001.
24. Efron B. 1977 Rietz lecture-bootstrap methods-another look at the jackknife. Annals of Statistics 1979; 7(1):1-26. Gl003 Times Cited:3473 Cited References Count:17.
25. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1(8476):307-310.
26. Steyerberg EW, Borsboom GJJM, van Houwelingen HC, Eijkemans MJC, Habbema JDF. Validation and updating of predictive logistic regression models: a study on sample size and shrinkage. Statistics in Medicine 2004; 23(16):2567-2586.