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Statistical Editor’s Practical Advice for Data Analysis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter draws upon 20 years of practical and educational experience of a Statistical Editor. It provides detailed guidance for young researchers on the proper approach for defining univariate statistical methods for use in medical research. Six questions must be answered in sequence before starting a statistical analysis. These are: (1) What is the objective of the analysis? (2) What is the type of the data? (3) Are the data normally distributed? (4) How many groups are being compared? (5) What is the number of subjects in each group? (6) Are the compared data related or unrelated? The answer to each of these questions is presented in this chapter with applied practical examples that are easy to understand and follow. If these questions are answered properly, and if recommended advice is followed, it is anticipated that the correct statistical methods will be selected.

Original languageEnglish
Title of host publicationHot Topics in Acute Care Surgery and Trauma
PublisherSpringer Nature
Pages165-175
Number of pages11
DOIs
StatePublished - 2022

Publication series

NameHot Topics in Acute Care Surgery and Trauma
VolumePart F4664
ISSN (Print)2520-8284
ISSN (Electronic)2520-8292

Keywords

  • Analysis
  • Comparison
  • Data
  • Non-parametric
  • Parametric
  • Statistics
  • Univariate

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