Question 1

A lower negative ratio value tells you that the test is inaccurate because the result misidentifies a large number of persons without the condition and identifies very few persons with a condition as having it.

Accepted Answer

A lower negative ratio value tells you the test is accurate because the true-negative rate will be greater than the false-negative rate.

Question 2

High predictive values rule in a condition, whereas predictive values rule out a condition.

Accepted Answer

High predictive values rule in a condition, whereas predictive values rule out a condition.

Question 3

Sensitivity is the true-positive test results divided by the sum of positive and negative test results for a condition.

Accepted Answer

Sensitivity is the true-positive test results divided by the sum of positive and negative test results for a condition.

Question 4

The true-negative rate is the clinical term for sensitivity.

Accepted Answer

The true-negative rate is the clinical term for specificity.

Question 5

The major limitation to predictive values is that you cannot transfer predictive values between populations with different prevalence rates.

Accepted Answer

The major limitation to predictive values is that you cannot transfer predictive values between populations with different prevalence rates.

Question 6

A positive likelihood ratio value greater than 2 may be meaningful in diagnosing a condition, but you can feel confident that a clinical test result will rule in a condition as the value approaches and rises to more than 5.

Accepted Answer

A positive likelihood ratio value greater than 2 may be meaningful in diagnosing a condition, but you can feel confident that a clinical test result will rule in a condition as the value approaches and rises to more than 10.

Question 7

Statistically significant and meaningful area under the curve values will be between 0.80 to 1.00, unless there is a low number of subjects.

Accepted Answer

Statistically significant and meaningful area under the curve values will be between 0.80 to 1.00, unless there is a low number of subjects.

Question 8

With the Youden index, a value of 10 indicates a perfect test, and a value of 0 indicates a useless test.

Accepted Answer

With the Youden index, a value of 1 indicates a perfect test, and a value of 0 indicates a useless test.

Question 9

A receiving operating characteristic curve is a useful technique for determining appropriate cutoff scores that accurately distinguish between persons with and without a condition.

Accepted Answer

A receiving operating characteristic curve is a useful technique for determining appropriate cutoff scores that accurately distinguish between persons with and without a condition.

Question 10

Likelihood ratios transcend patient populations, thereby giving this statistic a distinct advantage over positive and negative predictive values.

Accepted Answer

Likelihood ratios transcend patient populations, thereby giving this statistic a distinct advantage over positive and negative predictive values, which have limited clinical applicability to populations with different prevalence rates.

Question 11

Perfect accuracy of a test is indicated by an area under the curve of 1.0, indicating that the sensitivity is 100% and the false-negative rate is 0%.

Accepted Answer

Perfect accuracy of a test is indicated by an area under the curve of 1.0, indicating that the sensitivity is 100% and the false-positive rate is 0%.

Question 12

The term that is defined as the percentage of persons who do not have the attribute or disease who receive negative test results is called ________________________.

Accepted Answer

The answer of The term that is defined as the...

Question 13

The term that is defined as the comparison of the true-positive rate with the false-positive rate is called ________________________.

Accepted Answer

The answer of The term that is defined as the...

Question 14

The term that is defined as the score that indicates the number of persons who actually have the condition but receive negative results on a clinical test is called _______________________.

Accepted Answer

The answer of The term that is defined as the...

Question 15

The notation used for the false-negative rate is ________________________.

Accepted Answer

The answer of The notation used for the false-negative rate...

Question 16

The value of each data point on a receiver operating characteristic curve that is used to determine the presence or absence of a condition is called _________________________.

Accepted Answer

The answer of The value of each data point on...

Question 17

The term that is computed as 1 minus the value of the negative predictive value is called ________________________.

Accepted Answer

The answer of The term that is computed as 1...

Question 18

The term that refers to an accuracy measure of a clinical test that takes into account all cutoff scores in your investigation and provides the probability that the test result will positively identify a condition is called ________________________.

Accepted Answer

The answer of The term that refers to an accuracy...

Question 19

A graphic way to represent the positive likelihood ratio values for each point in a data set is called ______________________.

Accepted Answer

The answer of A graphic way to represent the positive...

Question 20

To diagnose a condition, your first step is to know the cutoff score computed from a receiver operating characteristic curve analysis for determining a positive test result. Your second step in making a decision is to know the ________________________.

Accepted Answer

The answer of To diagnose a condition, your first step...

Quiz 7: Diagnostic Statistics

A lower negative ratio value tells you that the test is inaccurate because the result misidentifies a large number of persons without the condition and identifies very few persons with a condition as having it.

High predictive values rule in a condition, whereas predictive values rule out a condition.

Sensitivity is the true-positive test results divided by the sum of positive and negative test results for a condition.

The true-negative rate is the clinical term for sensitivity.

The major limitation to predictive values is that you cannot transfer predictive values between populations with different prevalence rates.

A positive likelihood ratio value greater than 2 may be meaningful in diagnosing a condition, but you can feel confident that a clinical test result will rule in a condition as the value approaches and rises to more than 5.

Statistically significant and meaningful area under the curve values will be between 0.80 to 1.00, unless there is a low number of subjects.

With the Youden index, a value of 10 indicates a perfect test, and a value of 0 indicates a useless test.

A receiving operating characteristic curve is a useful technique for determining appropriate cutoff scores that accurately distinguish between persons with and without a condition.

Likelihood ratios transcend patient populations, thereby giving this statistic a distinct advantage over positive and negative predictive values.

Perfect accuracy of a test is indicated by an area under the curve of 1.0, indicating that the sensitivity is 100% and the false-negative rate is 0%.

The term that is defined as the percentage of persons who do not have the attribute or disease who receive negative test results is called ________________________.

The term that is defined as the comparison of the true-positive rate with the false-positive rate is called ________________________.

The term that is defined as the score that indicates the number of persons who actually have the condition but receive negative results on a clinical test is called _______________________.

The notation used for the false-negative rate is ________________________.

The value of each data point on a receiver operating characteristic curve that is used to determine the presence or absence of a condition is called _________________________.

The term that is computed as 1 minus the value of the negative predictive value is called ________________________.

The term that refers to an accuracy measure of a clinical test that takes into account all cutoff scores in your investigation and provides the probability that the test result will positively identify a condition is called ________________________.

A graphic way to represent the positive likelihood ratio values for each point in a data set is called ______________________.

To diagnose a condition, your first step is to know the cutoff score computed from a receiver operating characteristic curve analysis for determining a positive test result. Your second step in making a decision is to know the ________________________.