Michael J. Campbell
How to Display Data
Ebook (PDF Format)
Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message. This new addition to the popular How to series explains how to present data in journal articles, grant applications or research presentations clearly, accurately and logically, increasing the chances of successful publication. Packed with real examples from scientific literature, this instructive handbook describes appropriate methods for displaying a variety of quantitative information using both graphs and tables, to enhance the interpretation of scientific resear…
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Beschreibung
Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message. This new addition to the popular How to series explains how to present data in journal articles, grant applications or research presentations clearly, accurately and logically, increasing the chances of successful publication. Packed with real examples from scientific literature, this instructive handbook describes appropriate methods for displaying a variety of quantitative information using both graphs and tables, to enhance the interpretation of scientific research. Examples of bad presentation highlight the pitfalls of data display and will ensure that readers never fall into the same traps! Written in a readable and accessible style, How to Display Data is a must-have guide for anyone who needs to present data in journal articles, grant applications, or at research meetings. Clear and accurate presentation of data is an essential part of medical publication. Currently the standard in journals and at conferences is poor. This short and easy-to-use book shows you how to present data clearly and logically, helping you to get your submission accepted. It has plenty of examples of good and poor data display, and the final chapter reviews existing software.
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Produktdetails
Weitere Autoren: Walters, Stephen J. / Freeman, Jenny V.
- ISBN: 978-1-4443-1255-3
- EAN: 9781444312553
- Produktnummer: 13897044
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 120 S.
- Plattform: PDF
- Masse: 1'111 KB
Über den Autor
Jenny Freeman, Lecturer Stephen Walters, Senior Lecturer Mike Campbell, Professor The Medical Statistics Unit, University of Sheffield, UK
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