Overview
- It addresses those who wish to understand statistics but have no time for complex mathematics.
- With less than 100 pages the book yet covers all relevant pocket calculator statistical methods.
- An alternative book with similar content is not available on the market.
- Similar contents may be covered in textbooks in a scattered way, but the current text highlights the essentials and leaves out the less important aspects.
- It is a primer for the book “SPSS for Starters”.
- Includes supplementary material: sn.pub/extras
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Table of contents (20 chapters)
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Front Matter
Keywords
About this book
The core principles of statistical analysis are too easily forgotten in today’s world of powerful computers and time-saving algorithms. This step-by-step primer takes researchers who lack the confidence to conduct their own analyses right back to basics, allowing them to scrutinize their own data through a series of rapidly executed reckonings on a simple pocket calculator. A range of easily navigable tutorials facilitate the reader’s assimilation of the techniques, while a separate chapter on next generation Flash prepares them for future developments in the field. This practical volume also contains tips on how to deny hackers access to Flash internet sites. An ideal companion to the author’s co-authored works on statistical analysis for Springer such as Statistics Applied to Clinical Trials, this monograph will help researchers understand the processes involved in interpreting clinical data, as well as being a necessary prerequisite to mastering more advanced statistical techniques.
The principles of statistical analysis are easily forgotten in today’s world of time-saving algorithms. This step-by-step primer takes researchers back to basics, enabling them to examine their own data through a series of sums on a simple pocket calculator.
Authors and Affiliations
About the authors
The authors have been working and publishing together for 17 years, and their research can be characterized as a continued effort to demonstrate that clinical data analysis is not mathematics but rather a discipline at the interface of biology and mathematics.
The authors as professors and teachers in statistics at universities in The Netherlands and France for the most part of their lives, are convinced that the scientific method of statistical reasoning and hypothesis testing is little used by physicians and other health workers, and they hope that the current production will help them find the appropriate ways for answering their scientific questions.
Bibliographic Information
Book Title: Statistical Analysis of Clinical Data on a Pocket Calculator
Book Subtitle: Statistics on a Pocket Calculator
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
DOI: https://doi.org/10.1007/978-94-007-1211-9
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature B.V. 2011
Hardcover ISBN: 978-94-007-1210-2Published: 06 May 2011
eBook ISBN: 978-94-007-1211-9Published: 26 April 2011
Edition Number: 1
Number of Pages: VIII, 58
Topics: Biomedicine general, Chemistry/Food Science, general, Pharmacy, Medicine/Public Health, general, Computer Science, general, Life Sciences, general