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Description
Designed for researchers, research personnel, coordinators, administrators, postdocs, and students, the Essentials of Statistical Analysis (EOSA) course aims to build your statistical literacy and enhance your research capabilities.
The course covers key concepts in statistical analysis, including populations and samples, central tendency and variability, distributions and probability, normal distributions and z-scores, skewness and kurtosis, standard error and errors in hypothesis testing, statistical power and sample size estimation, confidence intervals and degrees of freedom, analysis of variance, correlation, multiple linear regression, t-tests, simple linear regression, non-parametric tests, contingency table measures, and diagnostic accuracy.
Note: This Essentials of Statistical Analysis (EOSA) course replaces the current EOSA Complete, EOSA Part 1, EOSA Part 2, and EOSA Part 3 courses, which will be retired on October 1, 2025.
Audience
Postdocs, Research Administrators, Research Coordinators, Research Personnel, Researchers, Students
Meet the Author
Michael Malek-Ahmadi, PhD – Banner Alzheimer’s Institute
Mike Malek-Ahmadi is a Bioinformatics Scientist at the Banner Alzheimer’s Institute in Phoenix, Arizona. His current work focuses on identifying and characterizing pre-clinical Alzheimer’s disease using clinical, cognitive, neuroimaging, and neuropathological data.
