The book "Statistical methods in biomedical research" by Lapacz C. N. and his colleagues is an important and relevant work that will be of interest not only to specialists in the field of medicine and biology, but also to anyone who seeks a deeper understanding of how statistics can influence research in these areas. In the context of modern scientific progress, when data become the basis for decision-making, the ability to correctly interpret and analyze statistical information becomes especially important. In this publication, the authors consider in detail the various statistical methods that are used in biomedical research. They explain how these methods help in the analysis of data obtained during clinical trials, epidemiological studies and other scientific works. The book covers a wide range of topics, from the basics of statistics to more complex methods such as regression analysis and methods of multidimensional statistics. Each section is written with clarity and accessibility, which allows the reader to easily digest the material, regardless of its initial level of preparation. Who can like this book? First of all, it will be useful for students of medical and biological faculties, graduate students and young scientists who are just starting their way into research activities . It will also interest practitioners and researchers seeking to improve their skills in statistics and data analysis. The book will be an excellent help for those who work in the field of public health, pharmacology or biostatistics, as well as for anyone who wants to understand more deeply how statistics help in making informed decisions in medicine. One of the key topics discussed in the book is the importance of choosing the correct statistical methods depending on the type of data and research goals. The authors emphasize that the incorrect use of statistics can lead to erroneous conclusions, which in turn can negatively affect people's health. This makes the book particularly relevant in light of the current challenges facing health care, such as pandemics and new diseases. The writing style of Lapacz and his colleagues is clear and logical. They use many examples and illustrations, which helps to make complex concepts more understandable. This edition is not only informative, but also fascinating, which makes its reading enjoyable. The authors strive not only to convey knowledge, but also to inspire readers to further study statistics and its application in medicine. The book "Statistical Methods in Biomedical Research" is an important contribution to the literature on statistics and medicine. It not only provides readers with the necessary tools to analyze data, but also raises important questions about how this data can be used to improve public health. If you are looking for literature that will help you understand statistical methods and their application in medicine, this publication will become an indispensable assistant for you. In conclusion, “Statistical methods in biomedical research” is not just a textbook, but a real find for anyone who wants to deepen their knowledge in the field of statistics and its application in medicine. Read, explore and discover new horizons in the world of science!