Question

In: Statistics and Probability

Given the following data: Number of patients = 3,293 Number of patients who had a positive...

Given the following data:
Number of patients = 3,293
Number of patients who had a positive test result and had the disease = 2,184
Number of patients who had a negative test, and did NOT have the disease = 997
Number of patients who HAD a positive test result, but did NOT have the disease = 55
Number of patients who had a negative test result, but who HAD the disease = 57
a. Create a complete and fully labelled 2x2 table (10)
b. Calculate the positive predictive value (5)
c. Calculate the negative predictive value (5)
d. Calculate the likelihood ratio for a positive test result (5)
e. Calculate the likelihood ratio for a negative test result (5)
show all work!!!

Solutions

Expert Solution

The 2x2 contingency table is as follows :-

Had the disease Did not have the disease Total
Positive test result 2184 55 2239
Negative test result 57 997 1054
Total 2241 1052 3293


Related Solutions

Given the following data: Number of patients = 3,293 Number of patients who had a positive...
Given the following data: Number of patients = 3,293 Number of patients who had a positive test result and had the disease = 2,184 Number of patients who had a negative test, and did not have the disease = 997 Number of patients who had a positive test result, but did not have the disease = 55 Number of patients who had a negative test result, but who had the disease = 57 Create a complete and fully labelled 2x2...
8. Given the following data: Number of patients = 3,293 Number of patients who had a...
8. Given the following data: Number of patients = 3,293 Number of patients who had a positive test result and had the disease = 2,184 Number of patients who had a negative test, and did not have the disease = 997 Number of patients who had a positive test result, but did not have the disease = 55 Number of patients who had a negative test result, but who had the disease = 57 a. Create a complete and fully...
The following data is the survival time of a set of patients who had Glioblastoma (it...
The following data is the survival time of a set of patients who had Glioblastoma (it is the time from detection until death): {5.28, 6.36, 9.72, 0.25, 5.52, 0.24, 76.8, 15.12, 11.52, 21.84, 2.76, 5.4, 15, 4.8, 1.08}. Determine a 90% confidence interval for the median of the data and a 90% confidence interval for the mean of the data.
The following data is the survival time of a set of patients who had Glioblastoma (it...
The following data is the survival time of a set of patients who had Glioblastoma (it is the time from detection until death): {5.28, 6.36, 9.72, 0.25, 5.52, 0.24, 76.8, 15.12, 11.52, 21.84, 2.76, 5.4, 15, 4.8, 1.08}. Construct a Q-Q plot (normal probability plot) for the data
The PulseRates data set has pulse, height and weight for 90 patients who had an echocardiogram...
The PulseRates data set has pulse, height and weight for 90 patients who had an echocardiogram test in one of the clinic in Ottawa in the month of September. (a)[2] Fit a L-S regression line using height to predict the pulse rate (pulse rate is called the response variable). What is the equation of the L-S regression line? . Does it make sense to use this line? Why? (Check the correlation coefficient) (b)[2] Fit a L-S regression line using weight...
(a) The following data shows the number of hours that 8 hospital patients slept following the...
(a) The following data shows the number of hours that 8 hospital patients slept following the administration of a certain anesthetic. 8, 5, 12, 10, 11, 4, 6, 10, Find a 95% confidence interval for the average hours slept following the administration of the anesthetic for the sampled population.
Why are post-operative patients (patients who just had surgery) at risk for atelectasis and/or pneumonia (PNA)?...
Why are post-operative patients (patients who just had surgery) at risk for atelectasis and/or pneumonia (PNA)? What nursing interventions can help prevent these complications? (typed please).
Why are post-operative patients (patients who just had surgery) at risk for atelectasis and/or pneumonia (PNA)?...
Why are post-operative patients (patients who just had surgery) at risk for atelectasis and/or pneumonia (PNA)? What nursing interventions can help prevent these complications? please type.
1. The percentage of tested patients with disease who actually tested positive is called: a. Specificity...
1. The percentage of tested patients with disease who actually tested positive is called: a. Specificity b. Negative predictive value c. Sensitivity d. Positive predictive value 2. The percentage of patients with a negative test who actually do NOT have the disease is called: a. Negative predictive value b. Sensitivity c. Specificity d. Positive predictive value 3. The percentage of tested patients without disease who actually tested negative is called: a. Negative predictive value b. Specificity c. Sensitivity d. Positive...
The following frequency distribution shows the number of customers who had an oil change at a...
The following frequency distribution shows the number of customers who had an oil change at a particular Jiffy Lube franchise for the past 40 days. Number of customers Frequency (days) Relative Frequency Cumulative Relative Frequency 25 to 34 3 35 to 44 12 45 to 54 11 55 to 64 7 65 to 74 5 75 to 84 2 Use this data to construct a relative frequency and cumulative relative frequency distribution. Report all of your answers in the table...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT