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    EPID 600; Class 2

    What is a cause? Causal inference andinterpretation of epidemiologic evidence

    University of Michigan School of Public Health

    Drug Abuse: A workshop on behavioral and economic research

    October 18-20, 2004

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    What is epidemiology?

    The study of the distribution and determinants of health-

    related states or events in specified populations, and the

    application of this study to the control of health problems

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    What is epidemiology?

    The study of the distribution and determinants of health-

    related states or events in specified populations, and the

    application of this study to control of health problems

    Therefore, epidemiology is fundamentally about the search

    forcauses so that we may do something about them

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    The wrath of God

    for now, I will stretch out mine hand, that I may smite theeand thy people with pestilence

    God, from Exodus (9:14)

    Historical developments in the

    understanding of disease etiology

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    Historical developments in the

    understanding of disease etiology

    Rational thinking about disease causation started in 400

    BCE with Hippocrates in the Epidemics

    Related symptoms of different illnesses to seasons and

    geographyFocused on illnesses and sick persons as unique

    events

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    1546: Fracastoro in On contagion, contagious diseases

    and their treatment

    Seminaria act on the humors of the body to create

    diseaseThree modes of transmission: person to person,

    fomites, airborne

    Historical developments in the

    understanding of disease etiology

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    1600s

    Thomas Sydenham, the English Hippocrates

    All diseases then ought to be reduced to certain and determinate

    kinds, with the same exactness as we see it done by botanic

    writers in their treatises of plantsViewed diseases as distinct entities and began to hypothesize

    about causes

    William Petty and John Graunt

    First to use numerical data to describe patterns of mortality

    Proposed the establishment of a central government agency to

    collect data on vital information (Petty)

    Published Observations on the bills of mortality(Graunt)

    Analyzed records on causes of death from each parish

    Historical developments in the

    understanding of disease etiology

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    1700s

    Giovanni Morgagni (clinicopathologic correlation)

    Associated certain signs and symptoms with specific

    pathologic changes in tissues and organsSpurred search for specific as opposed to general

    causes of diseases

    Historical developments in the

    understanding of disease etiology

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    1800s

    1831

    Civil registration of vital status established in England

    1838

    Englands General Register Office established and headed by William

    Farr recorded all births and deaths; Farr developed disease

    classification system

    Zymotic (epidemic, endemic, contagious)

    Constitutional (gout, dropsy, cancer)

    Local (diseases of 8 organ systems)

    Developmental (diseases of childhood, old age, women, nutrition)

    Violent (accidents, battle deaths, homicides, suicides, executions, etc)

    Historical developments in the

    understanding of disease etiology

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    Diseases which are communicated from person to person

    are caused by some material which passes from the sick to

    the healthy.

    John Snow (1813-1858)

    Historical developments in the

    understanding of disease etiology

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    1876: Koch reproducibly transmits anthrax to mice using

    the blood of infected cows

    Same rod-like material recovered from cows and mice

    Infection transmittable from mouse to mouse

    Kochs postulates

    Proof that a particular microorganism is the

    cause of a particular infectious disease

    Historical developments in the

    understanding of disease etiology

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    Henle-Koch postulates

    1. The agent must be present in every case of the disease2. The agent must be isolated from the host and grown in

    vitro

    3.The disease must be reproduced when a pure culture ofthe agent is inoculated into a healthy susceptible host

    4. The same agent must be recovered once again from theexperimentally infected host

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    Nelson, Williams, Graham. Infectious Disease Epidemiology Theory and Practice.Aspen Publishers, 2001 13

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    Three questions in causal inference

    1. Methodological question?How do we look for a cause?

    3. Ontological questionWhat is a cause?

    5. Ethical question?How do we decide if there is enough evidence to

    act on a cause?

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    1. The methodological question

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    Association vs. Causation

    Association is an identifiable relation between an exposure and a

    disease

    EXAMPLES

    Incidence rate of lung cancer is higher among smokers than among

    non-smokers

    Postmenopausal women on hormone replacement therapy (HRT) havelower rates of cardiovascular mortality than postmenopausal women

    who are not on HRT

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    Association vs causation

    Therefore if association is present we have to determine if exposure is

    truly a cause of disease

    EXAMPLES

    Does smoking cause lung cancer?

    Does HRT cause a reduction in the risk of death from cardiovascular

    diseases?

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    So how do we determine if something

    is causal?

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    When is an association causal?

    Theory

    Hypothesis

    Strategy to test thehypothesis

    Interpretation of

    results

    Design, conduct, andanalysis of study

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    When is an association causal?

    Smoking is a carcinogenTheory

    Hypothesis

    Strategy to test thehypothesis

    Interpretation of

    results

    Design, conduct, andanalysis of study

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    When is an association causal?

    Smoking is a carcinogen

    Smoking causes lung cancer

    Theory

    Hypothesis

    Strategy to test thehypothesis

    Interpretation of

    results

    Design, conduct, andanalysis of study

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    When is an association causal?

    Smoking is a carcinogen

    Smoking causes lung cancer

    Prospective cohort study

    Theory

    Hypothesis

    Strategy to test thehypothesis

    Interpretation of

    results

    Design, conduct, andanalysis of study

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    When is an association causal?

    Smoking is a carcinogen

    Smoking causes lung cancer

    Prospective cohort study

    Recruit 10,000 doctors,follow for 10 years

    Theory

    Hypothesis

    Strategy to test thehypothesis

    Interpretation of

    results

    Design, conduct, andanalysis of study

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    When is an association causal?

    Smoking is a carcinogen

    Smoking causes lung cancer

    Prospective cohort study

    High RR of lung cancerin smokers

    Recruit 10,000 doctors,follow for 10 years

    Theory

    Hypothesis

    Strategy to test thehypothesis

    Interpretation of

    results

    Design, conduct, andanalysis of study

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    Induction vs. deduction

    Induction

    Specific observation General premise

    Deduction

    General premise Specific observation

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    Confirmation vs. falsification

    Confirmation

    If A, then B, C, D

    B, C, D, therefore A

    Falsification

    If A, then B, C, D

    NOT B, C, D, therefore NOT A

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    Advantages of observational vs.

    experimental studies

    OBSERVATION

    Cheaper

    Fewer ethical quandaries

    Faster to organize and conduct

    Can test multiple hypotheses and

    associations

    EXPERIMENT

    Variables of interest more readily

    controlled by investigator

    Other extraneous variables more

    readily controlled by investigator

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    Advantages of observational vs.

    experimental studies

    OBSERVATION

    Cheaper

    Fewer ethical quandaries

    Faster to organize and conduct

    Can test multiple hypotheses and

    associations

    MAYBE

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    Advantages of observational vs.

    experimental studies

    EXPERIMENT

    Variables of interest more readily

    controlled by investigator

    Other extraneous variables more

    readily controlled by investigator

    MAYBE

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    A few well known causes of disease

    Smoking

    High cholesterol

    M. tuberculosis

    S. viridans

    Head injury

    Poverty [?]

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    A few well known causes of disease

    Smoking Lung Cancer

    High cholesterol Cardiovascular Disease

    M. tuberculosis Tuberculosis

    S. viridans Endocarditis

    Head injury Subarachnoid hemorrhage

    ? Poverty All-cause mortality

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    2. The ontological question

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    Criteria for Causal Inference

    (Bradford Hill 1965)

    Temporality

    Strength of association

    Biological plausibility

    Dose-responseReplication of findings

    Consideration of alternate explanations

    Cessation of exposure

    Coherence with established facts

    Specificity of association

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    Temporality

    Exposure must precede disease

    In diseases with long latency periods, exposures must

    precede latency period

    In chronic diseases, often need long-term exposure for

    disease induction

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    Strength of association

    Strong associations are less likely to be caused by chance

    or bias

    A strong association means a very high or very low relative

    risk

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    Strength of association

    Strong associations are less likely to be caused by chance

    or bias

    A strong association means a very high or very low relative

    risk

    CAVEAT

    Environmental associations with very low relative risks

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    Biologic plausibility

    The proposed mechanism should be biologically

    (etiologically) plausible

    Reference to a coherent body of knowledge

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    Biologic plausibility

    The proposed mechanism should be biologically

    (etiologically) plausible

    Reference to a coherent body of knowledge

    CAVEAT

    High oxygen concentration causing neonatal retrolentalfibroplasia

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    Dose-response relationship

    Changes in exposure are related to trend in risk of disease

    Strong evidence for causal relation suggesting biologic

    relation

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    Relation between income and mortality

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    32,

    499

    $US 1980

    Age-adjusted

    Mortality Rate(per 10,000

    person-years)

    Smith et al. 1994 42

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    Replication of findings

    Relations that are demonstrated in multiple studies are

    more likely to be causal

    Consistent results found in different populations, in different

    times, with different study designs

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    Replication of findings

    Relations that are demonstrated in multiple studies are

    more likely to be causal

    Consistent results found in different populations, in different

    times, with different study designs

    CAVEATHeterogeneity of effect in different countries

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    Consideration of alternate explanations

    Extent to which investigator has ruled out other possible

    explanations

    Methodologically sound studies with no potential residual

    confounding

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    Extent to which investigator has ruled out other possible

    explanations

    Methodologically sound studies with no potential residual

    confounding

    CAVEATAlternate explanations limited by understanding of biology

    and sophistication of analysis

    Consideration of alternate explanations

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    Cessation of exposure

    Risk of disease expected to decline when exposure to a

    cause is reduced or eliminated

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    Cessation of exposure

    Risk of disease expected to decline when exposure to a

    cause is reduced or eliminated

    CAVEAT

    Pathogenic process already started; removal of cause

    does not reduce disease risk

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    Coherence with established facts

    If a relation is causal, would expect observed findings to be

    consistent with other data

    Hypothesized causal relations need to be consistent with

    epidemiologic and biologic knowledge

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    Coherence with established facts

    If a relation is causal, would expect observed findings to be

    consistent with other data

    Hypothesized causal relations need to be consistent with

    epidemiologic and biologic knowledge

    CAVEAT

    Data may not be available yet to directly support proposed mechanism

    Science must be prepared to reinterpret existing understanding of

    disease process in the face of new evidence

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    Specificity of the association

    Specific exposure associated with only one disease

    Arises from old Henle-Koch postulates for causation

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    Specificity of the association

    Specific exposure associated with only one disease

    Arises from old Henle-Koch postulates for causation

    CAVEATMany exposures are linked to multiple diseases

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    Overall caveats to criteria

    None of my ... [criteria] can bring undisputable evidence

    for or against the cause-and-effect hypothesis and none

    can be required as a sine qua non.

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    What is a cause? (Rothman)

    A cause of a disease is an event, condition, or

    characteristic that preceded the disease event and without

    which the disease event would not have occurred at all or

    would not have occurred until some later time.

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    Sufficient and component causes

    T

    BX

    U

    BA

    Sufficient Cause 1 Sufficient Cause 2

    A sufficient cause is a set of minimal conditions

    or events that inevitably produce disease 57

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    Sufficient and component causes

    T

    BX

    U

    BA

    Sufficient Cause 1 Sufficient Cause 2

    Component causes

    A sufficient cause is a set of minimal conditions

    or events that inevitably produce disease 58

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    Sufficient and component causes

    T

    BX

    U

    BA

    Sufficient Cause 1 Sufficient Cause 2

    Component causes

    A component cause is any one of a set of conditions whichare necessary for the completion of a sufficient cause

    A sufficient cause is a set of minimal conditions

    or events that inevitably produce disease 59

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    Sufficient and component causes

    T

    BX

    U

    BA

    Sufficient Cause 1 Sufficient Cause 2

    A necessary cause is a component cause that is a memberof every sufficient cause

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    Causing a myocardial infarction

    Y

    W

    Potato chips

    No exercise

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    Causing a myocardial infarction

    A

    Y

    W Obesity

    Potato chips

    No exercise

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    Causing a myocardial infarction

    A

    Y

    W Obesity

    Potato chips

    No exercise

    NO EFFECT

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    Causing a myocardial infarction

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise

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    Causing a myocardial infarction

    T

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise Highcholesterol

    NO

    EFFECT67

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    Causing a myocardial infarction

    T

    BX

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise Highcholesterol

    Smoking

    Stress68

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    Causing a myocardial infarction

    T

    BX

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise Highcholesterol

    Smoking

    Stress69

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    Causing a myocardial infarction

    T

    BX

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise Highcholesterol

    Smoking

    Stress72

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    Causing a myocardial infarction

    T

    BX

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise Highcholesterol

    Smoking

    Stress73

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    Causing a myocardial infarction

    T

    BX

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise Highcholesterol

    Smoking

    Stress74

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    Causing a myocardial infarction

    T

    BX

    A

    C

    Y

    W

    Genes

    Obesity

    Potato chips

    No exercise Highcholesterol

    Smoking

    Stress75

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    Tuberculosis infection

    Tuberculosis is among the top ten causes of death

    in the world

    Tuberculosis is caused by infection with M.

    tuberculosisBut knowing who is infected with M. tuberculosis

    does not necessarily inform us about the

    distribution of those with TB disease in

    populations

    http://www.who.int/mediacentre/factsheets/fs104/en/index.html

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    Tuberculosis infection

    About 2 billion people

    are infected with M.

    tuberculosis worldwide

    However, only 5-10% of

    those infected actuallydevelop the disease

    So can we say that M.

    tuberculosis is the cause

    of TB?

    http://www.who.int/mediacentre/factsheets/fs104/en/index.html77

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    Vitamin D deficiency and TB

    Attack of macrophages is a critical step in the

    development of TB

    Vitamin D modulates monocyte-macrophage activity in

    the body

    Perhaps deficiencies in serum vitamin D levels cause

    TB?

    A meta-analysis conducted to evaluate the evidence

    Nnoaham and Clarke. Int J Epidemiol. Low serum vitamin D levels and tuberculosis: a systematic review and meta-analysis. 2008; 37: 113-11978

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    Vitamin D deficiency and TB

    The underlying causal scenario of interest

    Vitamin

    D

    Risk of

    developingtuberculosis

    Nnoaham and Clarke. Int J Epidemiol. Low serum vitamin D levels and tuberculosis: a systematic review and meta-analysis. 2008; 37: 113-11979

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    Vitamin D deficiency and TB

    TB case mean

    vitamin D level(nmol/L)

    Healthy control

    mean vitamin Dlevel (nmol/L)

    Study 1 16.0 27.25

    Study 2 65.75 69.5Study 3 39.75 65.5

    Study 4 69.5 95.5

    Study 5 46.5 52.25

    Study 6 26.75 48.5

    Is this enough evidence to call Vitamin D

    a cause of active TB?

    Nnoaham and Clarke. Int J Epidemiol. Low serum vitamin D levels and tuberculosis: a systematic review and meta-analysis. 2008; 37: 113-119

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    Vitamin D deficiency and TB

    Do we have evidence to believe that the association

    is not in the reverse direction? (Temporal order)

    Vitamin D Risk of developing

    tuberculosis

    Do we have evidence to conclude that these cases

    would not have occurred but for vitamin D

    deficiency?

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    Sick

    Healthy

    Observed

    Counterfactual (parallel universe)

    Counterfactual thinking

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    Sick

    Sick

    Observed

    Counterfactual (parallel universe)

    Counterfactual thinking

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    The counterfactual universe

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    The counterfactual universe

    D No D

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    The counterfactual universe

    D No D

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    The counterfactual universe

    D No D D No D

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    The real universe

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    The real universe

    D No D

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    The real universe

    D No D

    E No E

    So the question, how are these

    two parts different? Are they

    exchangeable? Epidemiology

    is centrally concerned with

    ensuring exchangeability or

    comparability of these two parts

    of the population

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    3. Ethics and the public health balance

    When is there enough evidence to say something is acause?

    When should we decide that something is a cause andact on it?

    Does first do no harm always apply at the populationlevel?

    Are there different guidelines for solutions where we haveto DO something vs. solutions where we try to remove

    something?

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    "All scientific work is incomplete - whether it beobservational or experimental. All scientific work is liable

    to be upset or modified by advancing knowledge. That

    does not confer upon us a freedom to ignore the

    knowledge we already have, or to postpone the action itappears to demand at a given time.

    Sir Austin Bradford Hill

    Coda