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Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Page 1: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

Synthesis: Causal Inference

EPIET Introductory Course, Lazareto, Menorca 2011

Kassiani Mellou, based on EPIET material

Page 2: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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How do we understand causality?

Intuitively?

Page 3: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Page 4: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Page 5: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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How is cause defined?

“Antecedent event, condition, or characteristic that was necessary for the

occurrence of the disease event and without, the disease event either would not

have occurred at all or until some time later.”

Rothman KJ, Greenland: Causation and Causal Inference in Epidemiology, (Am J PH, 2005)

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p<0.001Does a statistical association automatically mean that there

is a causal relationship?

RR = 89.795%CI = 82.5 – 91.4

Page 8: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Statistical association

• Causal ?

• Result of

• chance

• selection bias

• information bias

• confounding

Page 9: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Henle-Koch-Postulates (1890)

1. Pathogen must identified in ill person/animal

2. Pathogen must be culturable

3. Cultured pathogen should cause illness in test animal

4. Pathogen must be reisolated and found identical to original

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Bradford Hill’s criteria (1965)1. Strength of Association

2. Consistency

3. Specificity

4. Temporality

5. Biological gradient (dose response)

6. Plausibility

7. Coherence

8. Experimental Evidence

9. Analogy

AB Hill: The Environment and Disease: Association or Causation?Proc Royal Soc Med 1965;58:295-300

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Criteria for a Causal Relationship1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunders publishers July 2008

Page 12: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 13: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Temporal Relationship

Exposure must precede disease

Essential criterion for causality

Knowledge of:

• Latency period

• Incubation period

Page 14: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 15: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Strength of Association

Strong associations are more likely being causal than weak ones.

Smoking > 20 cigarettes/day laryngeal carcinoma (RR 20)

BUT not all strong associations are causal…

Page 16: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Cases of Down Syndrome by Birth Order

Page 17: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Cases of Down Syndrome by Maternal Age Groups

Page 18: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Strength of Association

Strong associations are more likely being causal than weak ones.

Smoking > 20 cigarettes/day laryngeal carcinoma (RR 20)

BUT:Not all strong associations are causal…And weak associations do not rule out

causality…

Page 19: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Smoking and Lung cancer? Breast cancer? Passive smokingCigarette smoking and lung cancer

RR= ~ 10

Cigarette smoking and breast cancer

RR = ~ 1 -1.5

Passive smoking and lung cancer

RR = ~ 1.4

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 21: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Biologic Plausibility

Is consistent with current biological and medical common knowledge.

SmokingIngesting of chemicals and known

carcinogens DNA mutationslung cancer

Page 22: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Biologic Plausibility

Is consistent with current biological and medical common knowledge.

• Percivall Pott - scrotum cancer observed in chimney sweeps (1775)

• Peptic ulcers and Helicobacter pylori (1980s)

Page 23: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 24: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Dose-response Relationship

Risk increases with more intense/more frequent exposure

But:• High dose at which any further increase has

no effect• Low dose may be that no response occurs or

can be measured

Page 25: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 26: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Replication of findings

Findings found in:

• different populations

• by using different study designs

Jan Hendrik Schön – organic electronics

Hwang Woo-suk – stem cell research

Page 27: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 28: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Effect of removing the exposure

A decrease in the outcome of interest is seen when the exposure is removed.

Page 29: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Page 30: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations

have been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 31: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Extent to which alternate explanations have been considered

Has adjustment been made for possible confounding?

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 35: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Rothman and GreenlandOne cause – one effect – simplistic and

not true

Most outcomes are as the result of many contributing causes

• Necessary

• Sufficient

• Probabilistic

Page 36: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Earlier head trauma

leading to equilibrium problems

Condition of the sidewalk

Weather conditions

Type of footwear

brittle bones

Source: Rothman KJ, Greenland: Causation and Causal Inference in Epidemiology, (Am J PH, 2005)

Use of cane to support

walking

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Criteria for a Causal Relationship

1. Temporal relationship2. Strength of the association3. Biologic plausibility4. Dose–response relationship5. Replication of the findings6. Effect of removing the exposure7. Extent to which alternate explanations have

been considered8. Specificity of the association9. Consistency with other knowledge

L Gordis: Epidemiology 4th revised edition, W. Saunder publishers July 2008

Page 38: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

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Consistency with other knowledge

If an association is supported by the results of different disciplines

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Summary

• Not a checklist! (don’t stop thinking)

• Beware of biologic plausibility

• Always aim for better evidence

• Association is not causality!!!

• Keep an open mind

• Remain critical

(… especially of your own studies)

Page 40: Synthesis: Causal Inference EPIET Introductory Course, Lazareto, Menorca 2011 Kassiani Mellou, based on EPIET material

Thank you for your attention!