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Sensitivity, specificity, predictive values, p values, and power are all conditional probabilities; probabilities that an event occurs given that specific conditions hold. The authors emphasize conditional probability in their presentation of the quantitative aspects of diagnostic testing and clinical decision making in the first three chapters. These chapters prepare the reader to understand the probabilistic basis of statistical inference, particularly the role of p values and power. The careful discussion and ordering of these topics helps dispel several common misconceptions in diagnostic and statistical hypothesis testing.
The importance of day-to-day variability in the interpretation of clinical observations on a patient
Biostatistics in Clinical Medicine.. Ann Intern Med. 1983;99:578. doi: https://doi.org/10.7326/0003-4819-99-4-578_3
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Published: Ann Intern Med. 1983;99(4):578.
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