How can we interpret Decision curve analysis in prognostic research? 0%5%10%15%20%Threshold ProbabilityNet Benefit0.0250.050.0750.10

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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Question

How can we interpret Decision curve analysis in prognostic research?

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Expert Solution

Step 1

The way to evaluate prediction models, diagnostic tests, and molecular markers is known as Decision curve analysis.

** Decision curve analysis is the method to evaluate alternative diagnostic and prognostic strategies.

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