Design Strategies and Measurement of association - oer… NOTES/1/1/Olarewaju-Sunday-De… · 1)...
Transcript of Design Strategies and Measurement of association - oer… NOTES/1/1/Olarewaju-Sunday-De… · 1)...
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Design Strategies and Measurement of association
Dr Olarewaju Sunday
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What are the objectives of epidemiology?
1. Quantify burden (Time, Place & Person)-Measurement tools
2. Identify the determinant factors3. Establish causal relationship between
exposure and outcome- Study designs
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Experimental studies
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Experiment may be carried out in one of the following settings
1) Clinical setting- carried out on patients, for testing a newtreatment, mostly ‘Randomized CLINICAL trial’.
2) Field Trial – carried out in the community- on healthyindividuals- mostly for testing prophylactic agents like a vaccine-This can employ a randomized controlled design or a nonrandomized design
3) Community Trial –carried out in a community-the interventionhas to be made at public level
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Basic Steps in Randomized Controlled Trial
• The basic steps in conducting a RCT include the following:
• 1. Drawing up a protocol • 2. Selecting reference and experimental
populations • 3. Randomization • 4. Manipulation or intervention • 5. Follow-up • 6. Assessment of outcome
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Continue in next session.
Blinding/Confounders
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Observational studies
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Cross sectional descriptive studies
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Cross sectional studies
Design of a cross-sectional study
• We define a populationand determine thepresence or absence ofexposure and thepresence or absence ofdisease for eachindividual
• Each subject then canbe categorized into oneof four possiblesubgroups
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Cross sectional studies
FIGURE 2-Design of a cross-sectional study: II FIGURE 3-Design of a cross-sectional study: III.
The findings can be viewed in a 2 × 2 table, as seen in Figures which also show the two approaches to interpreting the findings from such studies.
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Cohort study
Analytical study
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Advantages
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Disadvantages
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Exercise
Exposure Lung Cancer No lung Cancer
smokers 70 6930 7000
Non Smokers 3 2997 3000
Total 73 9927 10,000
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Case control studies
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Association and Causation
Guidelines of Causality
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APPROACHES TO ETIOLOGY IN HUMAN POPULATIONS
A frequent sequence of studies in human populations
Strength of evidence based on type of epidemiological design
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Two step process to carry out studies and evaluate evidence
1.Determine if an association is present- Ecologic studies: studies of group
characteristics- Cross-sectional studies: studies at one
particular time- Case-control or cohort studies: studies of
individual characteristics.2. If an association is demonstrated,
determine whether the observed association is likely to be a causal one using pre-determined criteria.
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Nine guidelines for judging whether an association is causal
Temporal relationship
Strength of association
Dose responserelationship
Replication of the findings
Biologic plausibility
Consideration of alternate explanations
Cessation of exposure
Specificity of the association
Consistency with other knowledge
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Temporal Relationship
• Exposure to the factor must have occurred before the disease developed.
• Easiest to establish in a cohort study• Length of interval between exposure and disease
very important – If the disease develops in a period of time too soon
after exposure, the causal relationship is called into question
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Strength of Association
• The larger the RELATIVE RISK OR ODDS RATIO, the higher the likelihood that the relationship is causal
• However, care must be taken to examine confidence intervals and sample size– For example, if the confidence interval is wide (e.g., 1.8
- 22.6), an OR of 12.0 is less strong because we are less confident of the strength of the odds ratio
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Strength of association
Which odds ratio would you be more likely to infer causation from?
OR#1: OR = 1.4 95% CI = (1.2 - 1.7)
OR#2: OR = 9.8 95% CI = (1.8 - 12.3)
OR#3: OR = 6.6 95% CI = (5.9 - 8.1)
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Dose-Response Relationship
• With increasing dose, there is increasing risk of disease
• This is not considered necessary for a causal relationship, but does provide additional evidence that a causal relationship exists
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Replication of the Findings
• If there is a true causal relationship between exposure and disease, the expectation is that we would see the association consistently in other (NOT necessarily all) subgroups of the population
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Biologic plausibility
• Consistency ofepidemiologic plausibilitywith existing biologicknowledge
• Requires knowledge ofthe biologic etiology ofdisease
• Gregg’s observations onrubella and congenitalcataracts preceded anyknowledge of teratogenicviruses
Congenital Cataract
Rubella Virus
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Consideration of alternate explanations
Requires a knowledge of the literature and known risk factors for the disease
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Cessation of exposure
• Upon elimination or reduction of exposure to the factor, the risk of disease declines.
• HOWEVER, in certain cases, the damage may be irreversible.
• Example: Emphysema is not reversed with the cessation of smoking, but its progression is reduced.
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Specificity of the Association
• The weakest of the criteria (should probably be eliminated)
• Specific exposure is associated with only one disease
• This is used by tobacco companies to argue that smoking is not causal in lung cancer– Smoking is associated with many diseases
• If anything, may provide support for a causal relationship, but does not negate if not present
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Diseases screening
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Exercise