Tips for Authors
CVIR Editors for Statistics
Shandra Bipat, Amsterdam, Netherlands
Jesús López Fidalgo, Pamplona, Spain
The Basics of Statistics
Statistics are vital to any scientific paper. They are a tool to analyse collected data and the most important aspect is to properly collect and clearly compare the data from the very beginning of the study to the end.
In essence, three types of data can be evaluated:
- Continuous (e.g. length, age),
- Binomial (e.g. male/female, factor present/absent), and
- Categorical, which includes two or more categories:
o Nominal (e.g., blood group A/B/AB/O)
o Ordinal (e.g., mild/moderate/severe)
There are two types of comparison:
- Paired comparison (i.e., outcomes in the same patient population are compared, such as outcomes before and after treatment)
- Unpaired comparison (i.e., different groups are compared, such as in a RCT).
Authors should be aware of what the outcomes are, how the data should be collected for the outcomes, and which comparisons are relevant. Based on the above information, the authors of a manuscript should be able to choose their approach for statistical testing.