Literature DB >> 16135031

Assessing the skill of yes/no predictions.

William Briggs1, David Ruppert.   

Abstract

Should healthy, middle-aged women receive precautionary mammograms? Should trauma surgeons use the popular TRISS score to predict the likelihood of patient survival? These are examples of questions confronting us when we decide whether to use a yes/no prediction. In order to trust a prediction we must show that it is more valuable than would be our best guess of the future in the absence of the prediction. Calculating value means identifying our loss should the prediction err and examining the past performance of the prediction with respect to that loss. A statistical test to do this is developed. Predictions that pass this test are said to have skill. Only skillful predictions should be used. Graphical and numerical methods to identify skill will be demonstrated. The usefulness of mammograms is explored.

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Year:  2005        PMID: 16135031     DOI: 10.1111/j.1541-0420.2005.00347.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  1 in total

1.  Seasonality of weather and tree phenology in a tropical evergreen mountain rain forest.

Authors:  J Bendix; J Homeier; E Ortiz Cueva; P Emck; S-W Breckle; M Richter; E Beck
Journal:  Int J Biometeorol       Date:  2006-04-06       Impact factor: 3.787

  1 in total

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