Applied Statistics
Description
This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to students, lecturers and practitioners alike, covering all necessary methods for targeted and careful data collection, analysis, and evaluation. In addition to offering advice and recommendations on study planning and analysis, numerous examples, cross-references, further references and a detailed index provide a comprehensive approach to statistics. The consistent use of the freely available programming language R further facilitates the entry for curious users and practitioners.
The book serves as a learning, reference, and application tool for individuals with varying levels of expertise and diverse interests, catering to anyone interested in the analysis of correctly acquired data - especially biologists, medical professionals, engineers and other natural scientists - both in academia and in practice.
This book is a translation of the original German edition 'Angewandte Statistik' by Jürgen Hedderich and Lothar Sachs, 17th edition, published by Springer-Verlag GmbH, DE in 2020. The translation was done with the help of artificial intelligence. A subsequent human revision by Jürgen Hedderich was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
More details
Other editions
Additional editions
Persons
Dipl.-Inform. Jürgen Hedderich spent a long time at the Institute of Medical Informatics and Statistics at the University of Kiel. His work focused on biometric and statistical methods consulting for nearly 40 years, supporting scientific work at the Medical Faculty, which earned him an honorary medal in 2015 for contributions to research and teaching. His dedication to the highest possible quality in medical and clinical studies led to co-authorship in more than 150 scientific publications.
Prof. Dr. rer. nat. Lothar Sachs , emeritus at the Institute of Medical Informatics and Statistics at the University of Kiel, has been interested in developing statistical methodology and making it 'digestible' for users beyond the medical field. He has published four other textbooks on statistics, and translations into American, Russian, Spanish, and Hungarian languages are available.
Content
Fundamentals of Planning Scientific Work.- Fundamentals of Mathematics.- Descriptive Statistics.- Probabilities.- Random Variables, Distributions.- Estimation.- Hypothesis Testing.- Statistical Model Building.- Introduction to R.- References.- Author Index.- Subject Index.- Examples Index.- R Functions Index.