6 - Cause and Effect Flashcards

1
Q

What is a risk factor?

A

Anything that increases the likelihood of disease

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2
Q

Criteria for Causal Association in Biology
(HILL)

A
  1. Strength of the association
  2. Consistency of the association
  3. Specificity of the association
  4. Time sequence
  5. Biological gradient
  6. Plausibility
  7. Coherence
  8. Experiment
  9. Analogy
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3
Q

1 Strength of Association

A

Quantitative strength (relative risk > 2.0) (magnitude)

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4
Q

2 Consistency of the Association

A
  • Different study designs
  • Different groups (within reason)
  • Different places (reproducibility)
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5
Q

3 Specificity of the Association

A

Is there a specific disease being caused?

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6
Q

4 Time Sequence

A

Exposure should occur before disease

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7
Q
A
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7
Q

5 Biological Gradient

A

Association between dose and effect (symptoms)

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8
Q

6 Plausibility

A

Depends on bio knowledge of the age
* Mechanism may not be understood BUT If strength great enough ➔ investigate new biological process

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9
Q

7 Coherence with Existing Information

A

Causal relationship should have coherence with known facts about the disease

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10
Q

8 Experiment

A

Can changes in putative causal variables increase / reduce rate of disease in question?

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11
Q

9 Analogy

A

Examples of previous scenarios can be put forward to support hypothesis

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12
Q

Possible types of association

A
  1. None
  2. Artefactual (Chance or Bias)
  3. Indirect
  4. Casual
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13
Q

No association

A

Two variables are independent of one another
* retain null hypothesis
* did the test have sufficient power?

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14
Q

Artefactual association (Chance)

A

Chance is hopefully eliminated by stat. testing
* Must control family-wise error rate for multiple testing

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15
Q

Artefactual association (Bias)

A

Systemic variation
* interview or recall bias
* design fault
* significance is irrelevant if bias present

16
Q

Indirect Association

A

A variable confounds a relationship if it is associated both with the exposure and the disease

17
Q

Some confounding variables

A

May exaggerate, reduce or mask association
* Age
* Education
* SES

18
Q

How can we deal with confounding factors?

A
  1. Randomisation (similar comp. in both groups)
  2. Matching (choosing participants based on similarity between groups)
  3. Stat. methods (Stratification and ANCOVA)
19
Q

ANCOVA

A

Type of ANOVA
* controls for presence of continuous var. (age)
* Use age as covariate