This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Miller, M. E. Articles by McDonald, C. J. Search for Related Content PubMed PubMed Citation Articles by Miller, M. E. Articles by McDonald, C. J. Social Bookmarking                         What's this?

Validation of Probabilistic Predictions

Carl D. Langefeld, MS

William M. Tierney, MD

Siu L. Hui, PhD

Clement J. McDonald, MD

Current advances in high-speed computing and increased availability of statistical software have led to widespread use of statistical methods for the development of computerized protocols predictive of binary health outcomes. If these predictive algorithms are to be used in settings other than those for which they were developed, e.g., applied in a different geographic setting or extrapolated for use in a slightly different population, then they should be carefully validated to ensure appropriate application. Miller et al. (Stat Med. 1991) provided a comprehensive methodology for external validation of logistic prediction models, and ap plied these methods in a temporal validation setting. In this article, the authors emphasize how these methods can be applied to general forms of probabilistic predictions and provide several SAS® macros for computation of the desired statistics. Key words: validation; logistic regression; predictive probabilities. (Med Decis Making 1993;13:49-58)

Medical Decision Making, Vol. 13, No. 1, 49-57 (1993)
DOI: 10.1177/0272989X9301300107


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				K. J.M. Janssen, Y. Vergouwe, A. R. T. Donders, F. E. Harrell Jr., Q. Chen, D. E. Grobbee, and K. G.M. Moons Dealing with Missing Predictor Values When Applying Clinical Prediction Models Clin. Chem., May 1, 2009; 55(5): 994 - 1001. [Abstract] [Full Text] [PDF]

				G. L. Grunkemeier and Y. Wu What Are the Odds? Ann. Thorac. Surg., April 1, 2007; 83(4): 1240 - 1244. [Full Text] [PDF]

				E. W. Steyerberg Local Applicability of Clinical and Model-Based Probability Estimates Med Decis Making, November 1, 2005; 25(6): 678 - 680. [PDF]

				C. C. Hunault, J. S.E. Laven, I. A.J. van Rooij, M. J.C. Eijkemans, E. R. te Velde, and J. D. F. Habbema Prospective validation of two models predicting pregnancy leading to live birth among untreated subfertile couples Hum. Reprod., June 1, 2005; 20(6): 1636 - 1641. [Abstract] [Full Text] [PDF]

				C. F. Lundergan, J. S. Reiner, W. F. McCarthy, K. S. Coyne, R. M. Califf, A. M. Ross, and for the GUSTO-I Angiographic Investigators Clinical predictors of early infarct-related artery patency following thrombolytic therapy: importance of body weight, smoking history, infarct-related artery and choice of thrombolytic regimen: the GUSTO-I experience J. Am. Coll. Cardiol., September 1, 1998; 32(3): 641 - 647. [Abstract] [Full Text] [PDF]

				R. K. Orr Use of a Probabilistic Neural Network to Estimate the Risk of Mortality after Cardiac Surgery Med Decis Making, April 1, 1997; 17(2): 178 - 185. [Abstract] [PDF]

				R. Starmans, J. W.M. Muris, G. H. Fijten, H. J.A. Schouten, P. Pop, and J. A. Knottnerus The Diagnostic Value of Scoring Models for Organic and Non-organic Gastrointestinal Disease, Including the Irritable-bowel Syndrome Med Decis Making, August 1, 1994; 14(3): 208 - 214. [Abstract] [PDF]