BIO Professional Development
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Statistical Features of Diagnostics
Statistical Features of Diagnostics surveys the measurements used to assess a diagnostic’s accuracy. Diagnostics must achieve a certain level of accuracy before receiving regulatory approval. Learn the meaning of variability, sensitivity and specificity and how each is calculated. Learn how these measurements are used to determine false negative and false positive percentages. If you are new to diagnostic development and need a primer on the measurements needed to achieve regulatory approval this course is for you.
Takeaways
- Produce and interpret a standard curve to analyze a diagnostic’s test results.
- Recognize types of data distributions and how each is used to determine if a patient falls in the normal or abnormal range for a disease.
- Choose the correct measurement to determine the disease state of a patient.
- Explain how precision, bias, specificity and sensitivity measurements determine the accuracy of a diagnostic.
- Discuss how false positive and false negative percentages and their comparison to the “Gold Standard” determine if one receives regulatory approval for a novel diagnostic.
Certificate Requirements
- View the entire course
- Pass course exam with a 70 percent
- Complete the course evaluation
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