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11 Cards in this Set

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What is sensitivity?
What is the formula?
Sensitivity = the proportion of people who have the disease (with gold standard) tested positive with the test.

Sensitivity = a/a+c
What is specificity?
What is the formula?
Specificity = the proportion of healthy people tested negative with the test.

Specificity = d/b+d
What is Positive Predictive Value (PPV)?
What is the formula?
PPV = the proportion of people who are tested positive with the test having the disease.

PPV = a/a+b
What is Negative Predictive Value (NPV)?
NPV = the proportion of people not having the disease over the total number of people who are tested negative with the test.

NPV = d/c+d
Do sensitivity and specificity change with prevalence?
Sensitivity and specificity are characteristics of diagnostic tests and do not change with prevalence.
Applying to a condition with the prevalence of 5%. Which of the following statements are true:

a. The pre-test odds for depression is 1 in 20.
b. The pre-test probability for depression is 1 in 19.
c. The pre-test odds is 1 in 19.
d. The pre-test probability is 1 in 20.
a. False. b. False. c. True. d. True.

Odds is the ratio of events to non-events. A prevalence of 5% means that for every patient who suffer the disease, there are 19 non-sudderers.
While probability of events to total population. For 5% prevalence, there are 1 sufferer in 20 people in total.
What is likelihood ratio?
What are the formulae for:
Positive Likelihood Ratio
Negative Likelihood Ratio
Likelihood ratio provides a direct estimate of how much a test result will change the odds of having a disease.

LR+ = how much the odds of the disease increase when a test is positive.
LR+ = sens. / 1 - spec.

LR- = tells how much the odds of the disease decrease when a test is negative.
LR- = 1 - sens / spec.
In a randomised control trial (RCT), what bias(es) of the followings are reduced by randomisation?
a) Ascertainment bias
b) Selection bias
c) Recall bias
d) Publication bias
e) Bias in handling dropouts
Selection bias (b) is reduced by randomisation in RCT.

Ascertainment bias - bias due to non random sampling distorted by knowledge of which intervention each participant is receiving. It is minimised by blinding the researchers, clinicians and patients.
There are 3 types of observational studies: cohort study, case-control study and cross sectional. Describe them.
Cohort study =
What does it mean by:
- confounding
- Bias
- effect modification
Confounding - confuses
Bias - distorts
Effect modification informs
What are the 3 features of confounders?
1. Has a causal association with health outcome
2. Has a statistical association with the study risk factors
3. Does not lie on the causal pathway linking the study factor and outcome.