Adjusting probabilities with new information and treatment thresholds

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Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Copyright © 2004 The McGraw-Hill Companies, Inc. All rights reserved.
Presentation transcript:

Adjusting probabilities with new information and treatment thresholds Adjusting probabilities with new information and treatment thresholds. The top panel shows a pretest probability of disease of approximately 0.4. With the new information provided by a test, the probability rose to approximately 0.7. The middle panel shows the same pretest probability, but a negative test result reduced the probability of disease to approximately 0.15. The treatment threshold probability is the probability above which one would treat. The actual threshold value depends on the morbidity and mortality of disease and the adverse effects (morbidity and mortality) of treatment. Source: Chapter 3. Evidence-Based Endocrinology and Clinical Epidemiology, Greenspan’s Basic & Clinical Endocrinology, 9e Citation: Gardner DG, Shoback D. Greenspan’s Basic & Clinical Endocrinology, 9e; 2011 Available at: http://accessmedicine.mhmedical.com/DownloadImage.aspx?image=/data/Books/gard9/gard9_c003f008.gif&sec=39744373&BookID=380&ChapterSecID=39744043&imagename= Accessed: November 16, 2017 Copyright © 2017 McGraw-Hill Education. All rights reserved

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