Radiology, Cancer A radiologist investigates whether a new (less costly) method for identifying esophageal cancer is as effective as the gold standard. He obtains the following test results: false positive = 0, true positive = 46, false negative = 1, true negative = 17. (a) What is the sensitivity of the test? (Round your answer to four decimal places.) [09787] (b) Consider the following Excel spreadsheet. BINOMDIST(45, 47, p, TRUE) Р 0.8000 1.000 0.8100 0.999 0.8200 0.999 0.8300 0.998 0.8400 0.997 0.8500 0.996 0.8600 0.993 0.8700 0.988 0.8800 0.982 0.8900 0.972 0.9000 0.956 0.9100 0.933 0.9200 0.899 0.9300 0.850 0.9400 0.782 0.9500 0.688 0.9600 0.566 0.9700 0.414 0.9800 0.242 0.9900 0.080 0.9950 0.023 0.9990 0.001 0.9995 0.000 True positves True positive + False nego BINOMDIST(46, 47, p, TRUE) 1.000 1.000 1.000 1.000 1.000 1.000 0.999 0.999 0.998 0.996 0.993 0.988 0.980 0.967 0.945 0.910 0.853 0.761 0.613 0.376 0.210 0.046 0.023 46 47 46+1 = 0.97872340 = 0.9787 Provide a 95% CI for the sensitivity. (Enter your answer using interval notation. Round your numerical values to two decimal places. Hint: The above Excel spreadsheet might be useful.)

Radiology, Cancer A radiologist investigates whether a new (less costly) method for identifying esophageal cancer is as effective as the gold standard. He obtains the following test results: false positive = 0, true positive = 46, false negative = 1, true negative = 17. (a) What is the sensitivity of the test? (Round your answer to four decimal places.) [09787] (b) Consider the following Excel spreadsheet. BINOMDIST(45, 47, p, TRUE) Р 0.8000 1.000 0.8100 0.999 0.8200 0.999 0.8300 0.998 0.8400 0.997 0.8500 0.996 0.8600 0.993 0.8700 0.988 0.8800 0.982 0.8900 0.972 0.9000 0.956 0.9100 0.933 0.9200 0.899 0.9300 0.850 0.9400 0.782 0.9500 0.688 0.9600 0.566 0.9700 0.414 0.9800 0.242 0.9900 0.080 0.9950 0.023 0.9990 0.001 0.9995 0.000 True positves True positive + False nego BINOMDIST(46, 47, p, TRUE) 1.000 1.000 1.000 1.000 1.000 1.000 0.999 0.999 0.998 0.996 0.993 0.988 0.980 0.967 0.945 0.910 0.853 0.761 0.613 0.376 0.210 0.046 0.023 46 47 46+1 = 0.97872340 = 0.9787 Provide a 95% CI for the sensitivity. (Enter your answer using interval notation. Round your numerical values to two decimal places. Hint: The above Excel spreadsheet might be useful.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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