Lecture 5 and 7 (Study Types) Flashcards
Cohort study definition:
- prospective, observational.
- start with no diseases, look at exposure and disease development over time.
- more expensive than case-control.
Statistic utilized for cohort study:
RELATIVE RISK

Cross-sectional study definition:
- single time point, observational.
- take a slice of the population
- how many people have a disease or a risk factor right now
Statistic for cross-sectional study:
POINT PREVALENCE
point prevalence = (total #sick)/(total population)
Case-control study definition:
- retrospective, observational.
- start with disease and go back retrospectively to find the risk factor
- cheaper than cohort studies
Statistic for case-control study:
ODDS RATIO

Nested case-control study definition:
- select cases and controls from a cohort study
- go back and find the risk factor
The three types of error in studies:
- random (chance)
- systematic (bias)
- confounders
Random error:
- chance
- will cancel out as sample gets larger
- more likely will lead to type 2 error
Systematic error (bias):
- cannot be corrected for regardless of sample size
- more likely will lead to a type 1 error
Confounder definition:
- must be associated with exposure
- must be associated with outcome
- cannot be in the causal pathway between exposure and outcome
How can you control for confounding?
- At the design stage:
- randomization
- restriction
- matching
- At the analysis stage:
- stratification
- multivariable adjustment (regression)
Selection bias:
- nonrandom assignment to groups
- loss to follow up
- must be controlled at design stage.
Healthy worker effect (bias):
- workers are generally healthier than the general population.
Self-selection bias:
- research volunteers different from the general population in terms of their exposure and disease status.
Withdrawal bias:
- differential loss to follow-up; people drop out
- drop outs may be more sick
Recall bias:
- knowledge of presence of disease changes subject’s response
Sampling bias:
- subjects are not representative of population, non-generalizable
Confounding bias:
- one factor distorts/confuses the effect of another closely related one.
Information/observer bias:
- researcher’s decision affected by prior knowledge of subject’s exposure.
- Correct for by blinding.
- must be controlled at design stage
What forms of bias are case-control studies sensitive to?
- recall bias
- selection bias
- observer bias
Case-control study benefits:
- good for rare diseases
- can test for a wide variety of exposures
- important in understanding new diseases
- commonly used in outbreak investigations
Cohort study benefits:
- can choose all the variables you want
- can control for bias and confounders
How to choose sample for case-control study:
- Case definition should not be too broad - misclassifies
- Case definition should not be too narrow - reduces sample size
- Cases and controls should be members of the same base population and have had equal opportunity to have been exposed (same environment).