An introduction to medical statistics for health care professionals: basic statistical tests

Area of Science:

• Medical Statistics
• Biostatistics
• Health Research Methods

Background:

• This article is the final part of a series introducing medical statistics to healthcare professionals (HCPs). Previous articles covered foundational statistical concepts.
• Effective use of statistical tests is crucial for interpreting health research data accurately.

Purpose of the Study:

• To provide healthcare professionals with a practical guide for selecting appropriate basic statistical tests.
• To assist HCPs in matching statistical tests to specific research questions and datasets.

Main Methods:

• Statistical tests are categorized based on data type (numerical or categorical).
• Further classification considers the number of groups, independence of groups, sample size, and data distribution (for numerical data).
• Guidance is provided to help users identify the correct statistical analysis for their research scenario.

Main Results:

• The article presents a framework for choosing statistical tests based on data characteristics and research design.
• Two summary tables are included for quick reference to appropriate analysis methods.
• The focus is on test selection rather than detailed calculation methods.

Conclusions:

• This article serves as a valuable resource for HCPs needing to apply basic statistical tests in their research.
• It empowers HCPs to confidently select appropriate statistical methods, enhancing the rigor of health research.
• Readers are encouraged to consult statistical textbooks or experts for in-depth calculation guidance.