1. Why do we have to use ITT?
2. What do we look at in terms of outcome?
3. How are results/analyses similar to cohort studies? 3
4. Draw power table: decision vs. reality
5. What is a?
6. What is B?
7. What is power?
1. We know true intervention effect is diluted by crossovers, but if data were not analyzed this way, it would violate randomization process introducing confounding
2. Cumulative incidence - avg probability that an individual in the RCT will develop disease over follow-up period (like COHORT!)
3. Uses
cumulative incidence and
survival analysis-product limit analysis. (1-probability of not developing disease in any of the time intervals)
Risk ratio
5. a = probability of making type I error - probability of concluding treatments are different when they're not
6. Probability of making a type II error - probability of concluding treatments are the same, when they're different.
7. Power = 1-B --> probability of correctly concluding that the treatments differ