Type I and Type II Error
Hypothesis
Proposition that serves as a starting point for further investigation.
Null Hypothesis
Assumption that any differences between groups in your study occurred purely by a chance.
How to set a clinical trial ?
Identify a problem.
Ask a scientific question - define null hypothesis to test.
Design a study.
define population
methodology of study
power analysis
define outcome measures
Ethical approval
Register trial and conduct
Recruit patient
Analyze results
Interpret the findings.
Type I error or alpha error
A null hypothesis that is true is falsely rejected or p-value suggests there is significant difference when there is not.
Type II or Beta Error
confirms an idea that should have been rejected (failing to reject the null hypothesis)
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