Cohort Studies Flashcards
What is a COHORT?
A defined group of people with known exposures/personal characteristics
How is a relative risk between two internal sub-cohorts calculated?
- Incidence rate ratio (IRR)
- IR (A)/IR (B)
- A is the exposed, B is the unexposed
How is risk estimated within a cohort?
- Incidence Rate IR (observed cases/total population x time)
- Standardised Mortality Rate SMR (observed/expected x100)
What is the difference between INTERNAL and EXTERNAL comparisons in cohort studies?
- INTERNAL is subdividing the cohort into two groups of different levels of exposure
- EXTERNAL is comparing the cohort group to an external reference population
What problems may arise with internal comparisons?
- Sub-cohorts may be radically different sizes so may lead to requirement of very large studies
- May be subject to confounding e.g. Age, sex
How would you calculate the 95% confidence interval for an SMR value?
- Lower = observed SMR / e.f.
- Upper = observed SMR x e.f.
Identify the major problem with observing large cohorts over a long period of time
During the study period the cohort members age and age-specific morbidity/mortality rates in the reference population change
Describe the relationship between sample size and error factor
As the number of observed events (O) increases, the error factor decreases
Why is the error factor for internal comparisons larger than that of external comparisons?
Cohorts are subdivided into smaller groups - smaller sample sizes so larger error factors for each group
Why does the error factor calculation of the SMR only involve the observed cases (O)?
- Uncertainty in the unexposed reference population is negligible due to the large numbers it is based on
- Therefore the only uncertainty in the SMR comes from the rate of the exposed (O)
State 2 advantages of using external comparisons over internal comparisons
- Tend to have less random variation
- Useful when it is not possible to use sub-cohorts
State 3 disadvantages of using external comparisons in a cohort study
- limited data pertaining to reference population e.g. only have mortality data
- SELECTION BIAS e.g. healthy worker effect
- Sometimes only binary comparisons are possible e.g. comparing exposed cohort to non-exposed reference population
What are the advantages of internal comparison cohort studies?
- Can establish that exposures precede outcomes
- Can study rare exposures
- Collect more detailed information for DOSE RESPONSE (can measure a range of exposures) e.g. Comparing risk of smoking with lung cancer
What are the disadvantages of internal comparison cohort studies?
- Large numbers required
- Study must be followed over a long period of time
- SURVIVOR BIAS - risk of high number of losses due to follow up
What is meant by SURVIVOR BIAS?
- Risk of high number of losses due to follow ups over a long period of time
- Those who remain in the study may be more health conscious than those who leave study