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Statistical Significance
Aka: Statistical Significance, Statistically Significant, P-Value, Confidence Interval, Clinical Significance, Clinically Significant
- Definitions: Statistical Significance
- Statistical Significance is the probability that study findings are due to chance
- The risk of rejecting the null hypothesis when it is actually true
- In planning a study, a level of risk is chosen (e.g. 5% risk or P-Value of 0.05)
- P-Value is used to denote significance
- P-Value < 0.05: <5% that findings due to chance
- Reflects reproducibility of the study findings only
- Does not predict individual patient's effect
- Confidence Interval
- Provides a range of possible outcomes
- Example: Number Needed to Treat ranges from 20 to 100
- More clinically relevant
- Statistical Significance does not mean clinically useful
- See Clinical Significance below
- Definitions: Clinical Significance
- Reflects how much of an effect a patient sees
- Example:
- Study shows drug x significantly improves Hair Growth
- Reality: Even the patient cannot see the difference
