Bias Flashcards

1
Q

What is a spurious relationship?

A

false cause-effect relationship between 2 variables when really there is a 3rd.

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2
Q

What is the 3rd variable in the spurious relationship called?

A

confounder variables

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3
Q

3 Criteria for being a confounder?

A
  1. confounder associated with outcome
  2. confounder associated with exposure
  3. exposure DOES NOT cause outcome THROUGH confounder
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4
Q

3 ways to reduce confounding when designing study

A
  1. restriction
  2. matching
  3. randomization
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5
Q

2 ways to reduce confounding when analyzing data

A
  1. stratification

2. multivar analysis

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6
Q

Restriction works how?

A

eliminate confounder by including it in BOTH groups.

Each group has smokers so smoking wont be confounder

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7
Q

Matching works how?

A

Allow different levels of confounding variable, but match them between groups. Heavy smoker A, heavy smoker in B etc.

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8
Q

Randomization works how?

A

Just allow people to join groups at random

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9
Q

Randomization advantage?

A

Will probably be about the same in each group, and take care of confounders we didnt htink of.

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10
Q

Randomization disadvantage?

A

Can get unlucky with distribution, and have more confounding on one side.

Can’t always randomly assign (can’t tell people to smoke, change their age etc).

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11
Q

Stratification works how?

A

during analysis, break people into different groups based on confounding variable (age, smoking habits)

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12
Q

Disadvantage to stratification?

A

have to defend a “cutoff” point you decide on for the strata

small sample size for each strata (might be very unequal)

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13
Q

Multivar analysis works how?

A

statistical methods (multiple regression)

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14
Q

Multivar analysis advantages?

A

inexpensive and can handle multiple confounders at once

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15
Q

Selection bias - whats wrong with population?

A

selection doesnt mimick population cuz of bias

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16
Q

Solution to recall bias?

A

choose groups equally likely to remember (both diseased0

mask subjects to study hypothesis

Find outside way besides asking to get info

17
Q

Social desirability bias is?

A

people over-report good

under-report bad about themeslves

18
Q

Way to get around social desirability?

A

randomized response (all yes’s, throw out half of the total question # of yes’s–if theres 100 total, throw out 50 yes’s]

need a BIG sample for this