Calculations Flashcards

1
Q

Risk calculations
-when to use
-what can you find out

A

Cohort studies - to find out whether a specific exposure is a risk factor for developing an outcome

Experimental event rate
EER = outcome number in this group/everyone in this group

Control event rate
CER = outcome number in this group/everyone in this group

Relative risk ratio
EER/CER
1+ - the rate of the event is increased compared to the control
U1 - the rate of the event is decreased compared to the control

Relative risk change - how much does the risk change with a certain exposure
EER-CER / CER

Absolute risk change -
CER - EER

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2
Q

Number needed to treat
-meaning
-calculation

A

The number of patients who need to be treated to prevent the occurrence of 1 adverse event or promote the occurrence of 1 beneficial event

NNT = 1/ARR

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3
Q

Odds
-when to use
-what can you find out

A

Case control studies - to find out what the ratio between an exposure/non exposure and an outcome

Differs from probability
1/6 probability of rolling a 6
1/5 odds of rolling a 6

Total no of patients on paracetamol = 60
No of patients achieving pain control on paracetamol = 40

Odds of pain relief on paracetamol = 40/20 = 2

Total no of patients on placebo = 90
No of patients achieving pain control on placebo = 30

Odds of pain relief on placebo = 30/60 = 0.5

So the odds ratio of achieving pain control on paracetamol = 2/0.5 = 4

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4
Q

SD calculations
-variance vs SD
-SEM and CI
-SDs

A

Variance - spread of values away from the mean

Variance = SD^2

SEM = SD/square root of n
Lower limit of 95% CI = mean - (1.96 x SEM)
Upper limit of 95% CI = mean + (1.96 x SEM)

1SD = 68
2SD = 95
3SD = 99.7

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5
Q

Sensitivity
Specificity
Positive predictive value
Negative predictive value
Likelihood ratio +
Likelihood ratio -

A

Sensitivity
TP/All people with disease

Specificity
TN/All people without the disease

Positive predictive value
TP/All people with a positive result

Negative predictive value
TN/All people with a negative result

Likelihood ratio +
Sen/1-spec

Likelihood ratio -
1-sen/spec

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