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Statistics is an essential discipline for health sciences. However, studying statistics often presents challenges for students and practitioners. Some approaches that are used to overcome challenges include simplifying statistical concepts, providing step-by-step instructions for applying statistical methods and utilizing interactive statistical software.
While these approaches ease the study of statistics and help students pass exams, they also perpetuate a lack of comprehension of statistical concepts. This can lead to the misuse of statistical methods and the misinterpretation of results, underscoring the importance of a solid understanding of statistical concepts.
This book should be considered a supplementary resource for statistical courses. It demystifies specific statistical concepts by addressing commonly asked questions, making the learning process more engaging and less intimidating. It encourages a more critical approach to statistical analysis and teaches readers how to apply statistical techniques to real-life problems in the biomedical and health science areas. The book also provides examples of meaningful analysis with statistical software (R, SAS, SPSS, Stata).
Tanya Kolosova is a statistician, software engineer, and educator with extensive academic experience. Tanya is an expert in actionable analytics, possessing extensive knowledge of software development methods and technologies, as well as artificial intelligence methods and algorithms, and statistically designed experiments. Together with Samuel Berestizhevsky, she co-authored three books on statistical analysis, metadata-based applications development with SAS, and an optimization framework for supervised machine learning with SAS and R.
Samuel Berestizhevsky is a statistician, researcher, and software engineer. Samuel is an innovator and expert in automated actionable analytics and artificial intelligence solutions. His extensive knowledge of software development methods, technologies, and algorithms allows him to develop solutions on the cutting edge of science. Together with Tanya Kolosova, he co-authored three books on statistical analysis, metadata-based application development with SAS, and an optimization framework for supervised machine learning using SAS and R.