intention-to-treat (ITT) analysisITT analysis compares treatment groups in a randomized trial by including all subjects as initially allocated after randomization regardless of what happens during the study period.
The rationale is that if subjects have such a poor treatment response (or are so inconvenienced by treatment administration or side effects) as to not follow protocol specifications or drop out of the study, then their outcomes should be attributed to that intervention
type Ⅰ, Ⅱ errortype Ⅰ: false-positive error(α)
(ur Accused an innocent man)
α= significance level= probability of making a type Ⅰ error
(eg. decreased α→ increased confidence level→ ☆any statistically significant findings can reported with a greater levels of confidence)