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Acta Paediatr. 2016 Jun;105(6):605-9. doi: 10.1111/apa.13384. Epub 2016 Mar 31.

Understanding type I and type II errors, statistical power and sample size.

Author information

1
Sidra Medical and Research Centre, Doha, Qatar.
2
Royal Manchester Children's Hospital, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

Abstract

The results of a clinical trial may be subject to random error because of the variability in the measured data, which arises purely by chance. There are two types of random error - type I error and type II error. In this study, type I and type II errors are explained, and the important concepts of statistical power and sample size estimation are discussed.

CONCLUSION:

The most important way of minimising random errors is to ensure adequate sample size; that is, a sufficient large number of patients should be recruited for the study.

KEYWORDS:

Power; Sample size; Type I error; Type II error

PMID:
26935977
DOI:
10.1111/apa.13384
[Indexed for MEDLINE]

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