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.
By:
Potter C. Chang Imprint: Springer International Publishing AG Country of Publication: Switzerland Edition: 2024 ed. Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783031499838 ISBN 10: 3031499832 Pages: 395 Publication Date:23 July 2025 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
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.