What question did this study set out to answer?

The aim is to explain why logarithms are commonly used in statistical analysis and their characteristics.

March 16, 1996BMJ77 citationsOpen Access

Statistics Notes: Logarithms

Key Points

The aim is to explain why logarithms are commonly used in statistical analysis and their characteristics.
Summarizes properties of logarithms relevant to statistical analysis.
Discusses applications of logistic and Cox regression on a logarithmic scale.
Logarithms are essential for transforming measurements into a more analyzable form.
Widely used methods like logistic and Cox regression generate coefficients on a logarithmic scale.

Abstract

Logarithms (or logs for short) are much used in statistics. We often analyse the logs of measurements rather than the measurements themselves, and some widely used methods of analysis, such as logistic and Cox regression, produce coefficients on a logarithmic scale. Here we shall give a brief summary of the properties of logarithms which make them so useful. We shall start with logarithms to base 10. These are the common logarithms formerly widely used to do calculations for which we now use calculators and computers. The log to base 10 of a number …

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