Basic statistical considerations for physiology: The journal Temperature toolbox.

Area of Science:

• Environmental and occupational physiology
• Scientific research methodology

Background:

• Many environmental and occupational physiologists have limited formal statistical training.
• Poor statistical practices can lead to erroneous or misleading research findings, distorting the scientific literature.
• Statistics are often used as a ritualistic post-collection procedure, detached from practical meaning or calculation methods.

Purpose of the Study:

• To address the challenges physiologists face with statistical interpretation and application.
• To advocate for the integration of statistical considerations throughout all stages of the research process.
• To encourage improved statistical practices and enhance the quality of scientific literature in the field.

Main Methods:

• This review synthesizes common statistical pitfalls in physiological research.
• It proposes a framework for incorporating statistical thinking from experimental design to data dissemination.
• The review includes statistical questions for researchers to consider at each research stage.

Main Results:

• Integrating statistics throughout the research lifecycle can mitigate problematic practices.
• Thoughtless application of statistics, particularly dichotomous interpretations (significant/non-significant), can be avoided.
• Improved dissemination practices enhance the overall quality and reliability of published research.

Conclusions:

• Statistical considerations should be an integral part of the entire research process, not an afterthought.
• Researchers are encouraged to critically evaluate their statistical practices and engage in continuous improvement.
• Adopting a thoughtful, integrated approach to statistics strengthens the validity and impact of physiological research.