Title: STAR
1STAR
- Bias and Confounding
- Knut Borch-Johnsen
2Epidemiology Natural History
- Birth Genetically determined (often unknown)
variability - of susceptibility
-
- Exposure Environment
- (family, social environment, macro
environment - occupation etc.) (rarely objective)
-
- Disease Diagnostic threshold
- (not objective)
-
- Death Heterogeneity with respect to lethality
(unknown) -
- Cause of death Heterogeneity
-
- Autopsy Heterogeneity
3Where do we get the evidence from?
- Epidemiology/observational studies
- Intervention studies
- Structured
- unstructured experiments
4INTERVENTION STUDIES Clinical trials
- RANDOMIZED (DOBBELT BLIND)
- CONTROLED CLINICAL TRIAL
-
- RANDOMIZED SINGLE-BLIND CONTRILED CLINICAL TRIAL
-
- OPEN TRIAL
-
-
- AIM
- To Compare the effect of different treatment
regiments
5RCCT
- Blinding with respect to exposure
- Allocation by chance
- Control for unknown prognostic factors (versus
stratification) - "Simple" interpretation of results
6RCCT vs. Epidemiology
7Some key problems in epidemiology
- Study population
- Methods
- Measurements
- Multifactorial diseases
- Can all risk factors be measured
8Validity of the association
- Due to chance
- Bias
- Confounding
9Did this occur by chance Statistical test
p-value/confidence intervals
- Retinopathy in sample 60 in males 40 in
females - How to test this what do you need ?
10Did this occur by chance Statistical test
p-value/Confidence Intervals
- Retinopathy in sample 60 in males 40 in
females - The probability of observing en effect at least
as extreme as the observed effect, provided that
the nill-hypothesis (no effect) is true
11Sample size
Each collor is one socioeconomic group How many
needed in the sample to obtain a valid estimate?
122 minutes
13Types of problems
- Bias
- Any systematic error in data collection an
epidemiological study that results in an
incorrect estimate of the association between
exposure and risk of disease - Confounding
- Mixing of the effect of the exposure under study
on the disease with that of a third factor
associated with the exposure and independent of
that exposure be a risk factor for the disease
14Bias
- Any systematic error in en epidemiological study
that results in an incorrect estimate of the
association between exposure and risk of disease
15Bias
- Selection bias
- Observation or information bias
16Selection bias
- Relates to selection of study-population
- Descriptive studies
- Sample representative for the population
- Analytical studies/C-C studies
- Study populations from the same populations
17 Descriptive studies
Sampling strategy Representative sample
18 Descriptive studies
Sampling strategy Representative sample HOW TO
MAKE A REPRESENTATIVE SAMPLE
192 minutes
20Descriptive studies
- Prevalence of complications among patients with
type 2 diabetes - Screened population
- Population based sample
- Primary care
- Secondary care
- Tertiary care
21Descriptive studies
- Representative ness of sample
- Population based sampling
- Responders
- Non-responders
- Non-responders differs with respect to
- Socioeconomic status
- Morbidity
- Mortality
- Life style
22Selection biasprobability of sampling
- Will all with the disease have the same
probability of being diagnosed/sampled - Women and gallstones
- Men and gastric/duodenal ulcers
- Asbestos exposure and COLD/Cancer
23Selection biasprobability of sampling
- Will all with the disease have the same
probability of being diagnosed/sampled - Women and gallstones
- Men and gastric/duodenal ulcers
- Difference in diagnostic threshold
- Asbestos exposure and COLD/Cancer
- Economic incentive for diagnosis
- Organic solvents and dementia
- Asbestos and COLD/Cancer
24Selection bias analytical studies
- Case-control studies
- Oral contraceptives and thromboembolism
- Hospital based C-C studies
- Doctors aware of the possible link
- Women with symptoms and using OC more likely to
be hospitalised - Leads to selection bias
25Observation/information bias
- Is a consequence of systematic differences in the
way data on exposure or outcome are obtained from
the various study groups - Recall bias
- Interviewer bias
26Recall bias
- The diseased individual remember and report their
previous exposure experience differently from
non-diseased - Or
- The exposed individual reports events differently
from unexposed
27Recall bias
- Birth defects among laboratory technicians
working with organic solvents OS - Case-control study
- Case birth defect, control normal child
- Exposure self reported exposure to OS
- C-C-study OR gt 1.5 (plt0.01)
- Cohort study RR 1.02 (ns)
- WHY
282 minutes
29Interviewer bias
- Soliciting, recording or interpretation of
information may differ between cases and controls
30Interviewer bias - solutions
- Blinding of interviewer
- Structured interviews
- Interview guides
- dummy questions (exposures known to be
unrelated to condition under study)
31Question
- Compare and contrast the likelihood of selection
and observation/information bias in case-control
and cohort study -
322 minutes
33Confounding
- Mixing of the effect of the exposure under study
on the disease with that of a third factor
associated with the exposure and independent of
that exposure be a risk factor for the disease
34CONFOUNDING
CONFOUNDER
DISEASE
STUDY FACTOR
35Confounder characteristics
- Associated to exposure
- Risk factor in it self
- If 1 not 2 Intermediate variable
- If 2 not 1 Independent Risk Factor
36Confounders
- Diabetes and macrovascular disease
- Hypertension
- Dyslipidaemia
- Smoking
- Low physical activity
37Bias and Confoundingwhat to do ?
- Bias
- In general terms error in data leading to
incorrect estimation of association between
exposure and outcome - Solution improve data collection
- Confounding
- In general terms incorrect estimation of
association between exposure and outcome due to a
third factor associated to exposure and disease - Solution restriction matching stratification
multivariate analysis
Bias design problem Confounding analysis
problem
38Other important terms
- Misclassification
- By exposure
- By event
- Systematic
- Random
39Other important terms
- Misclassification
- By exposure often systematic (recall bias)
- By event often systematic (by exposure)
- Systematic any result possible
- Random underestimates the effect
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