EBM Terminology Review
Across
- 1. a type of study that is used to determine if there is not unacceptably less effective than a known treatment
- 4. total cases present at one specific time
- 7. term used for the probably of an event in the intervention arm compared to the probability of an event in the placebo arm
- 8. can be increased by adding more patients to a study or decreasing the effect size
- 11. can only be calculated when a study is found to be statistically significant
- 12. this is the most dangerous statistical error
- 15. few false positives
- 18. a factor that can affect the statistical relationship of the study
- 19. retrospective study which compares patients who have an outcome of interest to those without in an effort to identify similar characteristics - hint: correlation only
- 20. value used determine risk of making a Type II error
- 22. value used to determine making a Type I error
- 23. objective outcomes medical professionals may place more weight on than patients
- 26. a type of study that occurs after the IRB approved analysis
- 27. few false negatives
- 28. estimate of the range within which the true effect lies
Down
- 2. this type of analysis is used when a study wants to evaluate real world scenarios of their patients
- 3. calculated by finding inverse of the absolute risk increase
- 5. the difference in rates of an outcome between treatment and control groups
- 6. evaluations a population at a single point in time
- 7. how much the risk changes proportionally between two groups
- 9. how close a measurement or object is to another
- 10. outcomes that stakeholders may place more weight on
- 13. a type of bias that occurs when an author or company is selective about if they share their results
- 14. an outcome that evaluates all results together
- 16. rate of new cases or events during a specified time for a population at risk
- 17. used to evaluate if the probability this result has happened by chance
- 21. used to determine risk of an outcome in case-control and cohort studies
- 24. this statistical error occurs when authors conclude there is no difference when a difference does exist
- 25. how close a measurement or object is to a true or accepted value