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Data Analysis of Medical Studies: Reading and Reporting 2024 ed. [Kietas viršelis]

  • Formatas: Hardback, 401 pages, aukštis x plotis: 235x155 mm, 22 Illustrations, color; 66 Illustrations, black and white; XIII, 401 p. 88 illus., 22 illus. in color., 1 Hardback
  • Išleidimo metai: 04-Aug-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031499832
  • ISBN-13: 9783031499838
Kitos knygos pagal šią temą:
Data Analysis of Medical Studies: Reading and Reporting 2024 ed.Didesnis paveikslėlis
  • Formatas: Hardback, 401 pages, aukštis x plotis: 235x155 mm, 22 Illustrations, color; 66 Illustrations, black and white; XIII, 401 p. 88 illus., 22 illus. in color., 1 Hardback
  • Išleidimo metai: 04-Aug-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031499832
  • ISBN-13: 9783031499838
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031499838.html
Raktažodžiai:

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.

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.

Potter C. Chang is Emeritus Professor of Biostatistics at the Department of Biostatistics, School of Public Health, UCLA.