PASS Cross Sectional Studies Flashcards
Advantages in cross sectional studies
- Inexpensive
- Good for studying prevalence of a condition
- Data no different exposure + outcomes can e collected at one point
- Generating study hypotheses
Disadvantages of cross sectional study
Causality cannot be assessed
Findings may be time sensitive
Selection bias
Generalisability
Issues with definition of exposure + outcome
Selection bias vs generalisability
Selection bias - findings are incorrect (internal validity)
Generalisability - findings are correct but applying these findings to other situations may be problematic (external validity)
What is a cross sectional study?
Exposure and outcome are assessed at same point in time
Exposure and outcome occur before research starts
What biases need to be considered in cross sectional studies?
- Selection bias - how representative is the sample of the population?
- Responder bias - who agrees to be in the study? Who stays and who drops out? Is the end sample still representative?
- Measurement bias - how accurate are the measurements?
Examples of cross sectional studies
Prevalence study
Seroprevalence study
Genome-wide association study
Environmental health
When does research start in a cross sectional study
After exposure + event occurrence
How is a cross sectional study conducted?
Data of exposure + event observed at the same time