Likelihood Ratio (LR) Formula
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Questions and Answers

The area under the curve for an ROC plot gives a summary of how well a model works across a variety of thresholds.

True

A high likelihood ratio indicates that a patient is very likely to have the disease or condition.

True

In an ROC plot, the x-axis represents the number of False Positives (FPs).

False

Likelihood ratios are used in medical testing to help physicians decide on the appropriate treatment for a patient.

<p>False</p> Signup and view all the answers

A low likelihood ratio indicates that a patient is more likely to have the disease or condition.

<p>False</p> Signup and view all the answers

The True Positive Rate (TPR) is the proportion of answers that were provided correctly as 'true' in an ROC plot.

<p>False</p> Signup and view all the answers

The False Positive Rate (FPR) is the proportion of answers that were provided incorrectly as 'false' in an ROC plot.

<p>True</p> Signup and view all the answers

The higher the area under the curve in an ROC plot, the worse the model's performance.

<p>False</p> Signup and view all the answers

An ROC plot is used to evaluate predictive models based on their ability to distinguish between different classes.

<p>True</p> Signup and view all the answers

Likelihood ratios can assist in ruling out diseases or conditions based on test results.

<p>True</p> Signup and view all the answers

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