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EBD Educational Tutorials

These five- to 10-minute video tutorials are designed by the ADA Center for EBD to help dental or health care professionals and students understand the basics of EBD. For additional EBD education and to earn 21 hours of continuing education credit, consider attending the hands-on workshop Dentistry for the Modern Age.

  • Module 1: EBD Overview
    Module 1: EBD Overview
    This series is designed to help you more fully understand what evidence-based dentistry is and how to apply scientific evidence to your practice.
    Lesson 1: What is EBD?
    In this lesson, you will learn that evidence-based dentistry (EBD) is a three-part approach to making clinical decisions. It includes (1) an understanding of the patient's treatment needs and preferences, (2) recognition of your own clinical expertise, and (3) evaluation of the best available scientific evidence.
  • Module 2: Series on Statistics
    Module 2: Series on Statistics
    This module consists of five tutorials and is designed to provide a basic understanding of the statistics-related concepts you will encounter in evidence-based research and systematic reviews.
    Lesson 1: What is null hypothesis?
    In this lesson you will develop a null hypothesis and recognize the null hypothesis in systematic reviews.

    Lesson 2: Why do we need statistics?
    In this lesson you will describe three situations that can be quantified using statistics and identify what the authors of a systematic review are trying to quantify.

    Lesson 3: What are the different types of data?
    In this lesson you will distinguish between nominal, ordinal and quantitative data as well as identify the type of data being presented in a systematic review.

    Lesson 4: What is a p-value?
    In this lesson you will learn that the p-value is a mathematical expression of the strength of the evidence against the null hypothesis.

    Lesson 5: What is a confidence interval?
    In this lesson you will learn that confidence intervals are a range of values that give a clear idea of the magnitude of any potential clinical benefit.
Technical Information
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