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Basic Principles of Applied Medical Statistics : A Practical Guide / by Jos W. R. Twisk

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XII, 268 p. 59 illus., 34 illus. in color.)ISBN:
  • 9783031862786
Subject(s): Additional physical formats: 9783031862779 | 9783031862793 | 9783031862809 | Erscheint auch als: 9783031862779 Druck-Ausgabe | Erscheint auch als: 9783031862793 Druck-Ausgabe | Erscheint auch als: 9783031862809 Druck-AusgabeDDC classification:
  • 570.15195 23
DOI: DOI: 10.1007/978-3-031-86278-6Online resources: Summary: - 1. Introduction -- 2. Descriptive Statistics -- 3. Basic Principles of Explanatory Statistics -- 4. The Analysis of a Continuous Outcome Variable -- 5. The Analysis of a Dichotomous Outcome Variable -- 6. The Analysis of Survival Data -- 7. Multiple Regression Analysis – Association Models and Prediction Models -- 8. Machine Learning -- 9. Other Outcome Variables -- 10. Missing Data -- 11. Pitfalls in (Multiple) Regression Analysis -- 12. Miscellaneous -- 13. Overview -- 14. Example Datasets.Summary: This book describes the basic principles of medical statistics. Although there are many texts on this topic, this one is different in that it limits the mathematics to an absolute minimum. It will therefore be extremely useful for non-mathematical researchers who need to use statistical methods in their work. Here, they will learn how to choose the appropriate statistical method and how to interpret the results obtained from statistical software. An important feature of the book is that it highlights the common thread throughout the statistical methods. By understanding this common thread, the analyses become much easier to comprehend. Each chapter contains multiple examples, and because the example datasets are available, the readers can reanalyze them and practice how to perform a particular statistical analysis.PPN: PPN: 1924767783Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS
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