Critical Thinking - Lecture Twenty-Seven Flashcards

Confounding I

1
Q

Confounding

A

A mixing or muddling of effects when the relationship we are interested in is confused by the effect of something else – the confounder

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2
Q

Epi saying for confounding

A

Risk factors party together

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3
Q

Example given for confounding

A

If you tend to drink alcohol, you tend to smoker

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4
Q

When if confounding valid?

A

If groups equivalent for anything else associated with outcome

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5
Q

Three properties of potential confounder

A

Independently associated with the outcome
Independently associated with the exposure
Not on the causal pathway

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6
Q

Independently associated with the outcome

A

A risk (or protective) factor for the outcome regardless of exposure status

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7
Q

Independently associated with the exposure

A

Imbalance in distribution across exposure groups

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8
Q

Not on the causal pathway

A

Not how the exposure affects the outcome

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9
Q

What can confounding do?

A

Over/Under-estimatation of a true association, Change the direction of a true association and give appearance of an association when not one

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10
Q

Give appearance of an association when not one

A

Go from null to something else

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11
Q

Change direction of a true association

A

Risk factor becomes protective factor (and vice versa)

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12
Q

Harmful exposure: over-estimation

A

Confounding has resulted in an over-estimation of the true harmful effect of the exposure (association appears stronger than it really is, RR is ‘further away from the null’)

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13
Q

Harmful exposure: under-estimation

A

Confounding has resulted in an under-estimation of the true harmful effect of the exposure (association appears weaker than it really is, RR is ‘closer to the null’)

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14
Q

Beneficial exposure: over-estimation

A

Confounding has resulted in an over-estimation of the true protective effect of the exposure (association appears stronger than it really is, RR is ‘further away from the null’)

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15
Q

Beneficial exposure: under-estimation

A

Confounding has resulted in an under-estimation of the true protective effect of the exposure (association appears weaker than it really is, RR is ‘closer to the null’)

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16
Q

Identifying potential confounders

A

Collect information on all potential confounders and look for imbalance in potential confounder between groups

17
Q

Criterion of collecting information on all potential confounders

A

Use literature to identify known and suspected risk factors for outcome
Collect information on factors strongly associated with exposure, regardless if known risk factor

18
Q

Why collect information on all potential confounders

A

If you don’t measure it, difficult to do anything about it later

19
Q

What do randomisation, restriction and matching have in common?

A

All attempt to make groups being compared alike with regard to potential confounder(s)
Can’t assess association between potential confounder and outcome
Can’t assess whether actually a confounder

20
Q

When is randomisation used?

A

In randomised controlled trials

21
Q

Limitations of randomisation?

A

requires large sample size, needs equipoise and needs intention-to-treat analysis

22
Q

Restriction

A

Restrict sample to one stratum of potential confounder

23
Q

When is restriction used?

A

Can be applied to all study designs

24
Q

Limitations of restriction

A

Can reduce generalisability, reduces number of potential participants, potential for residual confounding with imprecisely measured (or broadly defined) confounders and usually only one potential confounder

25
Q

Matching

A

Choose people for the comparison (control) group who have the same values of the potential confounding factor(s) as people in the exposed group (cohort studies) or case group (case-control studies)

26
Q

When is matching used?

A

Usually in case-control studies; individual or frequency

27
Q

Individual matching

A

Ratio of cases to controls

28
Q

Frequency matching

A

Assure that cases and controls have the same distributions

29
Q

Positives of matching

A

Useful for difficult to measure/complex potential confounders and can improve efficiency of case-control studies with small numbers

30
Q

Limitations of matching

A

Individual matching can be difficult and limit number of potential participants and need special matched analysis for individual matching