S3) When a patient is diagnosed with breast cancer, the oncologist will typically take a sample of the tumor and test it for the presence of estrogen receptor (ER). If the tumor is ER positive, the patient will usually be prescribed a certain class of drug, and if the tumor is negative, they will be prescribed something different. The methods of testing for the presence of ER include protein-based methods, such as immunohistochemistry (IHC), and measures of ER mRNA using the quantitative reverse transcriptase polymerase chain reaction assay (PCR). To determine the extent of agreement between these two methods, investigators conducted a study using banked samples from 1500 breast tumors. Each sample was tested using both methods. Both methods provide a positive result for 34 samples, and both methods provide a negative result for 1376 samples. The remaining samples were rated differently by the two methods, with IHC generating a total of 75 positive findings. a) Fill in the following table using the information provided above PCR + + IHC Total b) Calculate the overall percent agreement c) Calculate the paired percent agreement Total d) Calculate the kappa statistic and provide a brief interpretation

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
S3) When a patient is diagnosed with breast cancer, the oncologist will typically take a sample of the tumor
and test it for the presence of estrogen receptor (ER). If the tumor is ER positive, the patient will usually be
prescribed a certain class of drug, and if the tumor is negative, they will be prescribed something different. The
methods of testing for the presence of ER include protein-based methods, such as immunohistochemistry
(IHC), and measures of ER mRNA using the quantitative reverse transcriptase polymerase chain reaction
assay (PCR). To determine the extent of agreement between these two methods, investigators conducted a
study using banked samples from 1500 breast tumors. Each sample was tested using both methods. Both
methods provide a positive result for 34 samples, and both methods provide a negative result for 1376
samples. The remaining samples were rated differently by the two methods, with IHC generating a total of 75
positive findings.
a) Fill in the following table using the information provided above
PCR
+
+
IHC
Total
b) Calculate the overall percent agreement
c) Calculate the paired percent agreement
Total
d) Calculate the kappa statistic and provide a brief interpretation
Transcribed Image Text:S3) When a patient is diagnosed with breast cancer, the oncologist will typically take a sample of the tumor and test it for the presence of estrogen receptor (ER). If the tumor is ER positive, the patient will usually be prescribed a certain class of drug, and if the tumor is negative, they will be prescribed something different. The methods of testing for the presence of ER include protein-based methods, such as immunohistochemistry (IHC), and measures of ER mRNA using the quantitative reverse transcriptase polymerase chain reaction assay (PCR). To determine the extent of agreement between these two methods, investigators conducted a study using banked samples from 1500 breast tumors. Each sample was tested using both methods. Both methods provide a positive result for 34 samples, and both methods provide a negative result for 1376 samples. The remaining samples were rated differently by the two methods, with IHC generating a total of 75 positive findings. a) Fill in the following table using the information provided above PCR + + IHC Total b) Calculate the overall percent agreement c) Calculate the paired percent agreement Total d) Calculate the kappa statistic and provide a brief interpretation
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 6 steps

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman