Textbook of Medical Statistics

• Titel: Textbook of Medical Statistics
• Titelzusatz: For Medical Students
• Mitwirkende: Guo, Xiuhua [HerausgeberIn]
• Mitwirkende: Xue, Fuzhong [HerausgeberIn]
• Verf.angabe: edited by Xiuhua Guo, Fuzhong Xue
• Ausgabe: 1st ed. 2024.
• Verlagsort: Singapore
• Verlagsort: Singapore
• Verlag: Springer Nature Singapore
• Verlag: Imprint: Springer
• E-Jahr: 2024
• Jahr: 2024.
• Jahr: 2024.
• Umfang: 1 Online-Ressource(XII, 220 p. 86 illus., 24 illus. in color.)
• ISBN: 978-981-9973-90-3
• DOI: doi:10.1007/978-981-99-7390-3
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• K10plus-PPN: 1892160544
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4541592312
• Lokale URL Inst.: Zum Volltext

Abstract

Introduction to Medical Statistics -- Study Design, Sample Size Estimation and Selection of Statistical Method -- Statistical Tables and Graphs -- Descriptive Statistics of Continuous Variables -- Description of Categorical Variables -- Inferential Statistics: Confidence Interval -- Statistics Inferential: t tests -- Analysis of Variance -- Chi-square Test -- Nonparametric Statistics -- Correlation and Simple Linear Regression -- Multiple Linear Regression Analysis -- Logistic Regression -- Survival Analysis -- Cox Regression -- Appendix Tables of Probability Distributions.

Abstract

This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especially in the statistical design of the experiment in terms of the specific problems, adequate use of statistical methods based on actual data and the reasonable explanation for statistical results. This textbook combines statistical methods with the common application of SPSS software, which is flexible, convenient, and user-friendly; thus, students can focus on the deep understanding of statistics. The authors emphasize the application and generalization of statistical methods, and combine these methods with the modern statistical theory, such as sequential contingency table and multivariate statistical modelling, etc.