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Statistical SignificanceAka: Statistically Significant, P-Value, Confidence Interval, Clinical Significance, Clinically Significant
- Statistical Significance
- Probability that study findings are not due to chance
- 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't mean clinically useful
- See Clinical Significance below
- 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
Confidence Intervals (C0009667) | |
|---|---|
| Definition (MSH) | A range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified probability of including the true value of the variable. |
| Concepts | Quantitative Concept (T081) |
| MSH | D016001 |
| English | Confidence Interval, Confidence Intervals |
| Parent Concepts | Statistics as Topic (C1956348), Dispersion (C0332624) |
| Sources | MSH, NCI Derived from the NIH UMLS (Unified Medical Language System) |