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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Warning: This is an author submission that is not peer-reviewed or edited.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

  • Laura Chiara Guglielmetti; 
  • Fabio Strange; 
  • Lukas Fink; 
  • Raphael N. Vuille-Dit-Bille

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

Please cite as:

Guglielmetti LC, Strange F, Fink L, Vuille-Dit-Bille RN

Statistics decrypted - a comprehensive review for non-mathematicians

JMIR Preprints. 28/09/2020:24640

DOI: 10.2196/preprints.24640

URL: https://preprints.jmir.org/preprint/24640

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