Stats Flashcards

1
Q

What do screening tests rely on

What is it a measure of

A

Good sensitivity- true positives

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2
Q

What measures true negatives

A

Specificity

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3
Q

How do you calculate PPV and NPV

A

PPV- true +/ (true+ + false +)

NPV- true -/ (true- +false -)

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4
Q

What is a type 1 error

What does it give

A

False positives

P values- normally 0.05%

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5
Q

What is a type 2 error

What makes it more likely

A

False negatives

Of the study is underpowered

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6
Q

Which variable won’t change no matter how sick the individuals are

A

Relative risk

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7
Q

How do you calculate relative risk

A

A/a+b divided by c/c+d

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8
Q

How do you calculate odds ratio.

A

Abxcd

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9
Q

How do you calculate absolute risk reduction

What does this allow you to calculate? Why?

A

Events in control/total control - events in exposure/total exposure

NNT 100/(absolute risk reduction in %)

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10
Q
What do the following phases of drug trials focus on 
0-
1-
2-
3-
4-
A

0- pharmacokinetics and pharmacodynamics
1- safety
2- dosing requirements and some efficacy
3- confirms efficacy- usually against standard of care (RCTs)
4- post marketing

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11
Q

What does the Bradford hill criteria assess

What does it not take into account

A

Evidence for a casual relationship

Sensitivity

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12
Q

What are 2 types of experimental studies

A

Control trials and RCTs

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13
Q

What are 2 examples of observational studies

How do they differ

A

Cohort study- looks prospectively

Case control- looks retrospectively

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14
Q

What does an ecological study look for

A

Variables within a group

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15
Q

What is an example of a cross sectional study

A

Community survey

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16
Q

What does selection bias entail? Recall? Confirmation? Confounding?

Which type of study is worst for recall bias

A

Not randomising
Not following up everyone- worse with case control
Ignoring evidence against your fixed beliefs
Mixing of effects

17
Q

How do you calculate a positive likelihood ratio

“Negative

A

Sens / (100-spec)

100-sens/specificity

18
Q
Forest plots 
What do they represent 
What does the solid vertical line mean 
What do the boxes mean? What does a big vs small box mean. 
What do the horizontal lines mean
What does the diamond mean
A

Visual representation of a meta analysis
Line of no effect
Study outcomes. Bigger box means bigger sample size
Confidence intervals of each study
Overall studies. Tips=95% CI

19
Q

What would a highly significant study favouring treatment look like on a forest plot

A

Diamond far to the right of the line of no effect

20
Q

Forest plot

If the horizontal line crosses the line of no effect what does this mean

A

The study is not statistically significant!

21
Q

Does sensitivity rule out or in

A

Rules out!