Predictive values are important because they help determine the probability of a certain condition or outcome being present based on a diagnostic test result. They provide information about the accuracy and reliability of a test in predicting the presence or absence of a particular condition, thus guiding clinical decision-making. Understanding predictive values can help healthcare providers interpret test results and make informed decisions about patient care.
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positive predictive value and negative predictive value wil not be affected.
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Moral values make a society safer and more comfortable to live in.
GLASNOST
The population of Applied Predictive Technologies is 175.
No. Weighting is used to assign different importance to different values.
Applied Predictive Technologies was created in 1999.
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