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A comprehensive guide to understanding the concepts of sensitivity, specificity, positive predictive value (ppv), and negative predictive value (npv) in medical screening tests. It explores how these metrics are crucial for evaluating the effectiveness of diagnostic tools and their impact on patient care. Numerous examples and exercises to illustrate the application of these concepts in real-world scenarios, making it a valuable resource for students and professionals in the medical field.
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Assignments PHM Module 4. Measuring & Screening Correct Answers Complete this quiz on Canvas by or before the due date listed on the class calendar. You will only have one attempt to complete the quiz; however, there is no time limit. Read each question carefully and answer to the best of your knowledge. Please model requested interpretations after the examples in the lecture. For questions requiring calculations, keep 5 decimal places for intermediate steps and round your final answers to two decimal places, unless instructed otherwise. You may use this document to answer the questions prior to submitting your responses on Canvas under the QUIZZES tab. ( 100 points )
Questions 27-29 refer to a second new screening test that was assessed in a subset of 50 participants with malaria and 120 participants without malaria from the scenario described above. With this second test, 70% of those who have malaria had true positive results, and 75% of those without malaria had true negative results.
c. Sensitivity and PPV d. Overall Agreement and True Positives Use this information to answer questions 39-43. A hospital is training radiologists to read chest x-rays to diagnose tuberculosis (TB). To determine how well the new radiologist is doing, his results are compared to those of a radiologist with 20 years of experience. The results are tabulated below. Report your answers as a percentage rounded to the nearest hundredth (e.g., 25.325% = 25.33%). 20-year veteran Total TB Disease No Disease Newbie TB Disease 405 288 693 No Disease 232 807 1039 Total 637 1095 1732
decimal rounded to the nearest hundredth (e.g., 0.XX) - do NOT convert to a percent. (2 points) .