Sensitivity & Specificity; PPV & NPV
you guessed it
This and that
Measurement and Accuracy
100

The probability of a true positive if the patient has the disease.

What is sensitivity? 

100

dichotomous variable 

What are categorical (or nominal) variables - only two choices 

100

What is the amount of illness present in the population divided by the entire population?

What is prevelence?

100

A researcher wants to use scales that are continuous to measure variables. What would you use for the measurement? 

What is interval and ratio?

200

Researchers asked patients if they how they rate their pain from 0 to 10 (with 10 being the worst. What is the level of measurement of the dependent variable?

What is ordinal?

200

In a study there is it was determined there is not association between the two variables. You know this means?

what is the p-value was greater than the alpha?

200

Reading a study that examines the relationship in women between being

over age 55 and colon cancer. The dependent variable is

What is colon cancer?

200

What is the average distance that the variables in a distribution are from the center.   

What is standard deviation?

300

Formula to calculate the specificity of a screen.


What is true negatives (D)/all those who do not have the disease (A&B)? 

page 58

300

a study to examine effect of treatment without randomization

non-randomized control trial or quasi-experimental

300

The null hypothesis means what?

What is "that no relationship, association or difference exist between the two variables of interest? 

300

An indicator of the center of the data 

What is central tendency? 

400

Prevalence

a reasonable estimate for pretest probability;

the number of existing cases of a condition within a population at a given time.

400

Clinical prediction rule - LR+ was 5.2 (LR-) was .25 with a pretest probability of 45%.  What is true?

The test will be better at identifying those without sleep apnea.

400

If the LR+ is large, how is this interpreted?

A positive test will be good at ruling the condition in
400

A test for the presence of HIV has a positive predictive value (PV+) of 83%.  How do you interpret this?

83% of those individuals who test positive for HIV are likely to have virus