The study of Evidence-Based Medicine involves complex statistical concepts. One of the most challenging aspects for students is the transition from simplified explanatory examples of such topics to analysis of their application in clinical research.
This module serves to bridge that gap and guides the progression from following step-by-step examples to independently approaching open-ended questions. It is designed for use by medical and other professional students to reinforce the specific topics of confounding and interaction.
With examples taken from medical literature, the problem sets emphasize recognition of potential confounders, stratification to identify instances of confounding, and study design that minimizes risk of confounding. At every step, the learner has the option to follow a link for applicable reference information.
Therefore, students attempt to solve a problem independently, but if at any point they are stumped, they immediately access progressively more detailed reminders of the core concept required to solve the problem until they reach the point from which they are able to approach the rest of the problem independently.
This module is most effective as a self-study tool to assess and promote understanding.
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Experts from the disciplines listed below have tagged this resource as fulfulling genomic competencies.