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Establishment of Rat Models Mimicking Gender-affirming Hormone Therapies

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How to use and interpret hormone ratios.

Silja Sollberger¹, Ulrike Ehlert¹

¹Department of Psychology, Clinical Psychology and Psychotherapy, University of Zurich, Zurich, Switzerland.

Psychoneuroendocrinology

|November 2, 2015

Summary

Hormone ratios in neuroendocrine research present statistical and interpretation challenges due to their asymmetric distribution. Researchers should consider non-parametric methods, log-transformation, or moderation analysis for more accurate insights into reciprocal hormone effects.

Keywords:

Hormone ratio Ratio analysis Ratios T/C ratio

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Area of Science:

Neuroendocrinology
Biostatistics
Endocrine Research

Background:

Hormone ratios are increasingly used in neuroendocrine studies to analyze interdependent hormone effects.
Statistical and interpretational issues associated with hormone ratio analysis are often overlooked in endocrine research.

Purpose of the Study:

To demonstrate and discuss the statistical and interpretational challenges of using hormone ratios.
To suggest appropriate statistical methods and alternative approaches for analyzing reciprocal hormone effects.

Main Methods:

Illustrating ratio distribution and asymmetry using exemplary testosterone and cortisol data.
Discussing the impact of ratio computation direction (A/B vs. B/A) on parametric statistical analyses.
Proposing non-parametric methods, log-transformation, and moderation analysis as solutions.

Main Results:

Hormone ratio distributions are often asymmetric, affecting parametric statistical results.
The direction of ratio computation (e.g., testosterone/cortisol vs. cortisol/testosterone) can arbitrarily influence findings.
Moderation analysis may offer a more insightful alternative to ratio analysis for understanding complex hormone interactions.

Conclusions:

Researchers must carefully select statistical approaches for investigating reciprocal hormone effects.
Further research is needed to clarify the biological meaning and appropriate application of hormone ratio indices.