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Formulae for MRCPsych
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Sensitivity
A/(A+C)x100
Specificity
D/(D+B)x100
Likelihood ratio for a positive test - definition
LR shows how much more likely someone is to get a positive test if he/she has the disease, compared with a person without disease.
Positive LR is usually a number greater than one and the negative LR ratio usually is smaller than one.
Likelihood ratio for a negative test - definition
Likelihood ratio for a positive test - formula
Sensitivity/(1-Specificity)
Likelihood ratio for a negative test - formula
(1-Sensitvity)/Specificity
Negative predictive value - definition
The proportion of patients with negative test who are actually free of the disease.
This refers to the proportion of those scoring negative that don't have a condition (i.e. The chance that a negative result will be correct).
Inversely proportional to prevalence.
Negative predictive value - formula
D/(D+C)x100
Positive predictive value - formula
A/(A+B)x100
Positive predictive value - definition
The proportion of patients with positive test who actually have the disease.
Affected by prevalence - directly proportional.
Pre-test probability
(a+c)/(Total)
Pre-test odds
Pre-test probability/(1-pre-test probability)
Post-test odds
Pre-test odds x likelihood ratio for a positive result
Accuracy
(A+D)/Total
Absolute risk reduction
CER - EER
Relative risk
EER/CER
Absolute risk reduction
CER - EER
Number needed to treat
1/ARR
Standard error of the mean
Standard deviation/√sample size
Attributable risk proportion
= AR/EER
or (A/A+B) - (C/(C+D))
% results within 2 SD of mean?
95.4%
Relative risk reduction
(CER - EER)/CER
Standard deviation
√variance
Author
Em262
ID
339307
Card Set
Formulae for MRCPsych
Description
Formulae to know for MRCPsych Paper B
Updated
2018-04-09T07:36:39Z
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