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Measures of variability and precision in statistics: appreciating, untangling and applying concepts
1the Department of Biostatistics and Bioinformatics at the Milken Institute School of Public Health, George Washington University, Washington, DC, USA. His research focuses on developing and applying statistical methods to address mental health research questions.
Abstract:
This reflection presents a discussion of some common measures of variability and how they are appropriately used in descriptive and inferential statistical analyses. We argue that confidence intervals (CIs), which incorporate these measures, serve as tools to assess both clinical and statistical significance.
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