Download Ebook An Introduction to Stata for Health Researchers, Fourth EditionBy Svend Juul, Morten Frydenberg
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An Introduction to Stata for Health Researchers, Fourth EditionBy Svend Juul, Morten Frydenberg
Download Ebook An Introduction to Stata for Health Researchers, Fourth EditionBy Svend Juul, Morten Frydenberg
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An Introduction to Stata for Health Researchers, Fourth Edition methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics explores most graph types and describes how to modify the appearance of a graph before submitting it for publication.
The authors emphasize the importance of good documentation habits to prevent errors and wasted time. Demonstrating the use of strategies and tools for documentation, they provide robust examples and offer the datasets for download online.
Updated to correspond to Stata 13, this fourth edition is written for both Windows and Mac users. It provides improved online documentation, including further reading in online manuals.
- Sales Rank: #474662 in Books
- Published on: 2014-03-21
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x .90" w x 7.20" l, .0 pounds
- Binding: Paperback
- 346 pages
Review
"While impossible to cover every aspect of statistical analysis in a single book, this book does a nice job of covering the most common methods, from simple to complex, with an emphasis on the common methods seen in the field of health research … ideal to keep on hand as a reference manual."
―Melissa Plegue, University of Michigan in International Statistical Review
About the Author
Svend Juul is a former associate professor, now a part-time lecturer, in epidemiology, at the School of Public Health, Aarhus University. Juul has extensive experience in teaching epidemiology to medical students and others and in teaching Stata and other computer programs to PhD students in the health sciences.
Morten Frydenberg is an associate professor of biostatistics at the School of Public Health, Aarhus University. He has a PhD in theoretical statistics and more than 20 years of experience as a biostatistical consultant in health sciences. Frydenberg has taught numerous courses in applied biostatistics at both graduate and postgraduate levels.
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