EBM and Statistics Flashcards
What is sensitivity?
True positive test / All with disease
disease-centric
What is specificity?
True negative test / All without disease
disease-centric
Which of the following scenarios is sensitivity, specificity, PPV and NPV useful for:
- Individual vs. Populations
- Screening test vs. Diagnostic test
sensitivity/specificity are more suited to populations.
PPV/NPV are more suited for individuals
Screening test = high sensitivity
Diagnostic test = high specificity
What is positive predictive value (PPV)?
Positive test / All positive test
test-centric
What is negative predictive value (NPV)?
Negative test / All negative test
test-centric
Draw a table for a diagnostic test and include arbitrary calculations for:
- sensitivity
- specificity
- PPV
- NPV
- Accuracy
Description of table: Top across (label): D+ / D- Side down (label): T+ / T- Top row (L to R): a, b Bottom row (L to R): c, d
Row calculations:
- sensitivity = a / (a+c)
- specificity = d / (b+d)
Column calculations
- PPV = a / (a+b)
- NPV = d / (c+d)
Accuracy = (a+d) / (a+b+c+d)
How is the accuracy of a test calculated?
Accuracy = (true positive + true negative) / all subjects
What is positive likelihood ratio (LR+)?
The likelihood (probability) that a given test result would be expected in a patient WITH the target disorder
LR+ = sensitivity / [1 - specificity]
‘always choose sense over specifics’
LR+ is sensitive
What is negative likelihood ration (LR-)?
The likelihood (probability) that this same result would be expected in a patient WITHOUT the target disorder
LR- = [1 - sensitivity] / specificity
‘always choose sense over specifics’
LR- is specific
Using LR+ and LR-, calculate the post-test probability of positive or negative result.
Positive result: Post-test probability (odds) of disease = Pre-test probability (odds) x LR+
Negative result: Post-test probability (odds) of disease = Pre-test probability (odds) x LR-
T/F: LRs are independent of the prevalence of the disease in the population, unlike predictive values.
True.
Describe the difference in the different levels of RECOMMENDATIONS for investigations and therapy in EBM i.e. I, IIa, IIb and III.
Class I: benefit much great than risk, should be performed
Class IIa: benefit greater then risk, reasonable to perform
Class IIb: benefit greater than or equal to risk, may be considered
Class III: risk greater than benefit, harmful therefore do NOT perform
Describe the difference in the different levels of EVIDENCE for investigations and therapy in EBM i.e. A, B and C.
Level A: multiple populations studied, RCTs and meta-analyses
Level B: limited populations studied, single RCT or non-randomised studies
Level C: very limited populations studied, consensus opinion, case studies or standards of care
How is NNT calculated?
NNT = 1 / ARR
For a population with normal distribution, what % of the population lies within:
- +/- 1x standard deviation of the mean
- +/- 2x standard deviations of the mean
- +/- 3x standard deviations of the mean
- 68%
- 95%
- 99.7%