“That's Not What I Meant”
“It was a calculated risk”

Story Time
Relationships, platonically speaking
Miscellaneous

100

How repeatable a test is

Reliability

100

Assume a population of 1,000 people, 200 of whom have a disease and 800 do not have the disease. If only 750 people test negative, what is the specificity of the screening?

705/800 x 100 = 94% (93.75%)

100

A new illness called “goosepox” is popping up around Chico. You find that you show some symptoms of the disease and decide to go to the doctor. The doctor decides to run two tests at the same time to confirm you have this illness. What type of testing did this doctor just run on you?

Simultaneous testing

100

Specificity & Sensitivity

Inverse

100

When calculating sensitivity for two simultaneous tests, we calculate for ___ sensitivity

Net

200

Ability of a test to distinguish who does and does not have a disease

Validity

200

Assume a population of 1,000 people, 200 of whom have a disease and 800 do not have the disease. If only 145 people test positive, what is the sensitivity of the screening?

145/200 x 100 = 73% 

(72.5%)

200

After reviewing the results of your test, you and another pathologist have decided to calculate your overall percent agreement. Your results show that you have a 70% agreement. What does this tell you about your agreement?

You had good agreement generally (intermediate to good also works as a answer)

200

 Are validity and reliability related independently or dependently?

Independently

200

Type of curve which has two distinct peaks instead of one.

Bimodal curve/distribution

300

 Ability of a test to identify correctly those who do have a disease

Sensitivity

300

Assume a population of 10,000 people, 500 of whom have a disease. If a test is conducted that has a sensitivity of 85%, how many people will the test give true positives?

500 x 0.85 = 425 people

300

You’re a pathologist researching a new disease that is spreading in Chico called “goosepox”, you’ve started on a new test to reveal if someone is positive or negative for the disease. What type of results should you have?

 Dichotomous

300

PPV and prevalence

As prevalence increases, PPV increases

300

What statistic corrects percent agreement between two observers by eliminating chance?

Kappa statistic

400

Ability of a test to identify correctly those who do not have a disease

Specificity

400

Assume a population of 10,000 people, 9% of whom have a disease. If a test is conducted that has a specificity  of 70%, how many people will the test give true negatives?

9,100 x 0.70 = 6,370 people

400

A physician that has just conducted a new test on you for the recent disease known as “goosepox”. They are currently wondering “if the test results are positive in this patient… What is the probability that this patient has the disease?” What is the doctor worried about?

Positive predictive value

400

 What is a specific example of a continuous variable that we have given cut off points to define health status in relation to diabetes?

Blood glucose

400

What is sequential (two-stage) testing (and its effects on sensitivity and specificity)?

Cheap test followed by more expensive test in pts who tested positive.


Net loss of sensitivity, gain of specificity

500

Proportion of patients which test positive for a disease who actually does/does not have the disease.

True positives / (true + false positives) 

 True negatives / (true + false negatives)

  PPV or NPV

500

A dichotomous screening test is conducted in a population of 800, of these subjects 120 came back with a positive result. Of these 120 subjects only 80 have the disease. What is the positive predictive value of this test?

80/120 x 100 = 67%

(66.66%)

500

You and your team of researchers have finished creating a graph distribution curve showing the results of your test. What does your curve tell us about your reliability and validity?

Test results are reliable, but not valid

500

Intraobserver variation & Interobserver variation: what is the main difference between these two methods of observation.

Intra - variations made by the same observer


Inter - variations made by 2 different people

500

3 factors contributing to test result variations

Intrasubject, Intraobserver, Interobserver