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Statistical Power and Sample Size Estimation for Headache Research: An Overview and Power Calculation Tools
Author(s) -
Houle Timothy T.,
Penzien Donald B.,
Houle Chris K.
Publication year - 2005
Publication title -
headache: the journal of head and face pain
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.14
H-Index - 119
eISSN - 1526-4610
pISSN - 0017-8748
DOI - 10.1111/j.1526-4610.2005.05092.x
Subject(s) - calculator , statistical power , sample size determination , computer science , power (physics) , statistical analysis , statistical hypothesis testing , power analysis , point (geometry) , sample (material) , clinical study design , research design , data science , management science , statistics , clinical trial , engineering , medicine , mathematics , physics , geometry , computer security , chemistry , chromatography , quantum mechanics , pathology , cryptography , operating system
The present article reviews the concept of statistical power analysis for research designs in headache. First, we present a basic overview of the concepts of statistical hypothesis testing. Then we discuss the elements of power analysis and, where appropriate, we address conventions for power calculations. We offer, for public use, an applied power calculator for two applications that are often encountered in headache research. We intend to help headache researchers design trials with adequate statistical power by offering a conceptual overview and the power calculators. In closing, we briefly address the implications of the present trend toward reporting point estimates of effect sizes with confidence levels.