Lesson series

The Foundamentals of Biostatistics

This introductory course offers a comprehensive overview of basic statistical concepts and methods for data analysis in the biomedical field. Designed for beginners, it covers the fundamental principles of statistical data analysis, interpretation, and presentation. Through engaging online lectures, exercises, and guidance on statistical software, students will learn to summarize data using descriptive statistics, make inferences about populations through inferential statistics, and understand the role of probability in statistical analysis, including common parametric and non-parametric tests. The target audience includes undergraduate and graduate students in biomedical and health sciences, as well as social sciences.

  • 40 Videos

    Always up to date

  • 42 reading materials

    Free of charge
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      Aims

    • Differentiate between descriptive and inferential statistics
    • Learn to use descriptive statistics to summarize data effectively.
    • Understand the role of probability in statistical analysis, as well in sampling methods in designing robust studies.
    • Gain proficiency in various statistical methods used for data analysis in the biomedical field.
    • Apply common parametric and non-parametric tests to analyze data sets.
    • Develop skills to interpret the results of statistical analyses accurately
    • Learn to perform statistical analyses using the most popular statistical softwares used in biomedical research

      Content

    • Descriptive Analysis: Summarizing data, data visualization, and basic calculations
    • Probability and Sampling: Probability concepts, sampling techniques, and sampling distributions
    • Confidence Intervals: Margin of error, null and alternative hypotheses, and the link between confidence intervals and hypothesis testing
    • Parametric and Non-Parametric Testing
    • Advanced Topics: Modeling relationships between variables, and Stata commands
    • Sample Size Calculations and Power Analysis
    • Ethical Considerations in Data Analysis

      Methods

    The introduction to the topic is delivered through online video lectures, literature readings, practical exercises, and tests. Students will engage in individual exercises that cover various aspects of statistical methods using real-world case studies, with guidance on common statistical software. Each section concludes with a test to evaluate your understanding.

      Target audience

    Undergaraduate and postgradudate students, healthcare and public health professionals, as well as social scientists professionals with an interest in the topic.

    Meet our lecturer

    Idlir Liçaj, PhD

    Biostatistician with extensive experience in research and industry. Particular expertise in statistical inference, protocol development, sample size estimation, mix models, survival analysis, and multiple imputation.

    I have co-authored more than 70 peer-reviewed publications mainly in the area of cancer research. Therapeutic areas of experience include: oncology, respiratory and rare diseases. I have acquired advanced statistical programming skills in SAS, R and Stata.
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