Abstract
Power can be described as statistical conclusive force. It can be defined as the chance of finding a difference where there is one. Other chances are the chance of finding no difference where there is one (type II error) and the chance of finding a difference where there is none (type I) error (Chap. 3). A study result is often expressed in the form of the mean result and its standard deviation (SD) or standard error (SE). With the mean result getting larger and the standard error getting smaller, the study will obtain increasing power. This chapter is to show how to compute from a study’s mean and standard error its statistical power. Power is equal to 1 minus the type II error (=1 – β).
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© 2016 Springer International Publishing Switzerland
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Cleophas, T.J., Zwinderman, A.H. (2016). Power Equations. In: Clinical Data Analysis on a Pocket Calculator. Springer, Cham. https://doi.org/10.1007/978-3-319-27104-0_11
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DOI: https://doi.org/10.1007/978-3-319-27104-0_11
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