Data Analysis of Medical Studies
Springer International Publishing (Verlag)
978-3-031-49983-8 (ISBN)
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This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medicine to demonstrate how ambiguous descriptions of results of data analysis may be read, so that it is clear what they do and do not reveal. These demonstrations also show how statistics is misused.
Potter C. Chang is Emeritus Professor of Biostatistics at the Department of Biostatistics, School of Public Health, UCLA.
Chapter 1. Data Distribution.- Chapter 2. Graphical Displays of Data Distributions.- Chapter 3. Descriptive Statistics.- Chapter 4. Unpaired Qualitative Data Sets.- Chapter 5. Paired Qualitative Data Sets.- Chapter 6. Unpaired Quantitative Data Sets.- Chapter 7. Paired Quantitative Data Sets.- Chapter 8. Association Between Two Qualitative Variables.- Chapter 9. Relationship Between Two Quantitative Variables.
Erscheint lt. Verlag | 14.1.2025 |
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Zusatzinfo | XIII, 401 p. 88 illus., 22 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | adjusted • Confidence interval • Hazard ratio • informative reporting • Intelligent reading • misleading • oversimplification • paired data sets • revelations of data • statistical significance • subgroup analysis |
ISBN-10 | 3-031-49983-2 / 3031499832 |
ISBN-13 | 978-3-031-49983-8 / 9783031499838 |
Zustand | Neuware |
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