Statistical Concepts in Biomedical and Health Sciences (Measurement Scales, Sampling, Hypothesis Testing with Examples in R, SAS, SPSS, Stata)

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).