Q: What is the difference between type 1 error and type 2 error?
Answer: In clinical trials, type 1 and type 2 errors present a great challenge to the investigators. This mostly occurs under the phenomenon called 'chance'.
Random variations occur within the sample size of any study.
- Type 1 (alpha error) - If random chance leads to a wrong conclusion that there is a positive or negative effect
- Type 2 (beta error) - If random chance leads to a wrong conclusion that there is no effect
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Reference:
Akobeng AK. Understanding type I and type II errors, statistical power and sample size. Acta Paediatr. 2016 Jun;105(6):605-9. doi: 10.1111/apa.13384. Epub 2016 Mar 31. PMID: 26935977.
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