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Can't You Biopsy That Cancer Trends Are Complicated?

Unbiased Science

NOTE

Understanding the Impact of Disease Prevalence on Test Results

The disease prevalence greatly influences test results, as demonstrated in the example where out of 10,000 low-risk individuals, only one is expected to have HIV, leading to a 50% predictive value despite a highly specific test. This highlights the importance of considering prevalence when interpreting test outcomes to avoid misinterpretation.

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