Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Feb 19, 2021)
Date Submitted: Sep 28, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Statistics decrypted - a comprehensive review for non-mathematicians
ABSTRACT
Background:
Statistic scripts are often made by mathematicians and cryptic for clinicians or non-mathematician scientists. Nevertheless, almost all research projects necessitate the application of some statistical tests or at least an understanding thereof.
Objective:
The present review aims on decrypting basic statistics for scientists and clinicians.
Methods:
First, different types of bias are discussed. Then different types of variables and measurements to describe a data set with means of descriptive statistics are introduced.
Results:
The basic thoughts and tools of interferential statistics are presented and in the final paragraph the most commonly used statistical tests and the respective applications are described.
Conclusions:
The present article should help scientists to understand the most frequently used statistical expressions and to perform the most commonly used statistical tests independently.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.