Statistical Methods in Medicine

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“Statistical Methods in Medicine” by Natalia Mikhailovna Novikova is not just a textbook or a reference book, it is a real guide to the complex and fascinating world of medical statistics, which will open up new horizons for the reader to understand the data and their analysis in the field of health care. This book is intended for those who want not only to master the theoretical foundations of statistics, but also to learn how to apply them in practice, making medical research more accurate, objective and meaningful. The book focuses on the methods of collection, processing and interpretation of medical data that underlie modern research, clinical trials and epidemiological analyses. The author, Natalia Novikova, a well-known specialist in the field of biostatistics and medical informatics, masterfully combines academic rigor with practical recommendations, making the material accessible and understandable even for those who are just starting their way in medical statistics. Her writing style is distinguished by clarity, vivacity and attention to detail, which makes reading not only useful, but also fascinating. The book "Statistical methods in medicine" is suitable for students of medical universities, graduate students, teachers, as well as practitioners, researchers and specialists in the field of health care, seeking to improve the quality of their research and scientific publications. It is especially valuable for those who want to understand how to correctly interpret the results of clinical trials, how to evaluate the effectiveness of new methods of treatment or prevention, and how to avoid errors when working with medical data. Age of readers - from junior students to experienced professionals looking for a systematic and modern guide to statistics The topics raised in the book cover a wide range of issues, from basic probability concepts and descriptive statistics to complex survival analysis methods, multifactorial regressions, and risk assessment methods. Particular attention is paid to practical aspects - how to collect data correctly, how to choose the appropriate methods of analysis and how to interpret the results so that they are understandable and convincing for colleagues and patients. The book examines in detail examples from real medical practice and research, which makes the material especially relevant and applied. Natalia Novikova is an author with rich experience in teaching and scientific work, who is known for her publications and courses in biostatistics. Her style is distinguished by accuracy, logic and the ability to convey complex concepts in a simple and understandable language. In her arsenal there are many other books and articles on medical statistics, which confirms her reputation as an expert in this field. If you are looking for a book This will help you understand ,. How to use statistical methods to improve the quality of medical research , or want to learn how to interpret data like this , So that your conclusions are convincing and reliable , “Statistical methods in medicine” Natalia Mikhailovna Novikova will become an indispensable assistant for you . This book is the key to a more accurate, objective and evidence-based medical practice, which today is especially important in an era of rapid technology development and the need for evidence-based medicine. So, if you are interested in deepening your knowledge of statistics in medicine, looking for a practical guide to data analysis or want to improve the level of your research, this book will become your reliable companion. It can be compared with a guide to the complex world of medical data, which will help you not only understand, but also masterfully apply statistical methods to achieve new professional heights. In a world where accuracy and reliability of data play a crucial role, Natalia Mikhailovna Novikova’s Statistical Methods in Medicine is a book worth having in her library.
LF/789368166/R
Data sheet
- Name of the Author
- Наталья Михайловна
Новикова - Language
- Russian
- ISBN
- 9789857168330