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Biostatistics

Course Description: This course introduces students to the fundamental concepts of biostatistics and its applications in rehabilitation and health sciences. It covers data organization, analysis, interpretation, and presentation, with topics including types of data, descriptive statistics, probability, sampling, hypothesis testing, group comparisons, correlation, regression, and categorical data analysis. It also focuses on interpreting research findings and supporting evidence-based practice in rehabilitation.
Credits: 2
Objectives of the course :

This course introduces students to the fundamental concepts of biostatistics and its applications in rehabilitation and health sciences. It covers data organization, analysis, interpretation, and presentation, with topics including data types, descriptive statistics, probability, sampling, hypothesis testing, group comparisons, correlation, regression, and categorical data analysis. It also focuses on interpreting research results and supporting evidence-based practice in rehabilitation.

Course outputs :

By the end of the course, the student will be able to:
1. Explain fundamental biostatistics concepts used in rehabilitation research and practice.
2. Classifying data types and selecting appropriate methods for displaying and summarizing them.
3. Interpretation of basic statistical results such as p-values, confidence intervals, and correlation measures.
4. Utilizing statistical thinking in evaluating research results and supporting evidence-based practice.
Critical reading of quantitative studies in rehabilitation and the evaluation of their statistical conclusions.

Additional information:
  • Last update : 2026-09-06

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