Biostatistics and Epidemiology

• Verfasst von: Wassertheil-Smoller, Sylvia [VerfasserIn]
• Verfasst von: Smoller, Jordan [VerfasserIn]
• Titel: Biostatistics and Epidemiology
• Titelzusatz: A Primer for Health and Biomedical Professionals
• Verf.angabe: by Sylvia Wassertheil-Smoller, Jordan Smoller
• Ausgabe: 5th ed. 2024.
• Verlagsort: Cham
• Verlagsort: Cham
• Verlag: Springer International Publishing
• Verlag: Imprint: Springer
• E-Jahr: 2024
• Jahr: 2024.
• Jahr: 2024.
• Umfang: 1 Online-Ressource(XIX, 232 p. 77 illus., 16 illus. in color.)
• ISBN: 978-3-031-53043-2
• DOI: doi:10.1007/978-3-031-53043-2
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• K10plus-PPN: 1898506167
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

1. The Scientific Method -- 2. A Little Bit of Probability -- 3. Mostly About Statistics -- 4. Mostly About Epidemiology -- 5. Mostly About Screening -- 6. Mostly About Clinical Trials -- 7. Mostly About Quality of Life -- 8. Mostly About Genetic Epidemiology -- 9. Risk Prediction and Risk Classification -- 10. Research Ethics and Statistics -- Postscript -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Appendix F -- Appendix G. References -- Suggested Readings -- Index.

Abstract

Since the publication of the 1st edition, Biostatistics and Epidemiology has attracted loyal readers from various specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. The 5th Edition includes coverage of fixed and random effects and mixed effects models; Poisson regression; constructing confidence intervals for U-shaped relationships; analysis of rare variants; Mendelian randomization; and aspects of machine learning and big data analytics. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of “how to do it” and “how to interpret it.” Key features include a philosophical and logical explanation at the beginning of the book, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text.