Across
- 2. The type of data collected directly by the investigator for the purpose of the study.
- 6. The odds of getting disease after exposure divided by the odds of getting disease without exposure.
- 8. The study of how often diseases occur in different groups of people and why.
- 10. This study analyses data from a population at one point in time.
- 12. The investigator does nothing in this study to affect the outcome, just records.
- 14. Studies focusing on events that could occur in the future.
- 15. The type of data already collected for another purpose but used by the investigator to examine a new question.
- 16. Lack of systematic error.
Down
- 1. Studying two groups with different known outcomes based on a supposed causal factor.
- 3. The probability of disease occurring in the exposed group divided by probability in non-exposed group.
- 4. The investigator intervenes in this study to affect the outcome.
- 5. A study following a sample of people over time.
- 7. Two groups of subjects with unknown outcomes are compared based on a supposed causal factor.
- 9. Studies focusing on events/actions that have occurred in the past.
- 11. The most well-known criteria for assessing causation in observational studies.
- 13. Lack of random error.