Summary
Enhance your medical practice by mastering basic statistical skills. This session is designed to provide medical professionals with a comprehensive understanding of statistics used in medical research and clinical decision-making. This introductory course will expound on how data is collected, interpreted, and applied to make informed decisions in healthcare. Delve into concepts such as hypothesis testing, probability, data distribution, and correlation. Boost your competency & credibility by gaining essential statistical skills and interpreting medical data confidently. Don't miss this opportunity to add a critical layer to your medical expertise.
Learning objectives
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Understand the key concepts and principles of statistical analysis: By the end of the session, learners should be able to comprehend the fundamental principles and concepts that underpin statistical analysis, such as measures of central tendency, variance, hypothesis testing, and regression analysis.
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Demonstrate proficiency in using basic statistical tools: Learners should be able to comfortably use basic statistical tools and software to analyze datasets and derive meaningful interpretations by the end of the teaching session.
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Apply statistical techniques to medical research: Learners should understand how to use various statistical techniques specifically in the context of medical research, interpret research findings and be able to distinguish between correlational and causal relationships.
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Interpret statistical data correctly: Learners should develop the ability to interpret statistical data, including understanding and interpreting p-values, confidence intervals, effect sizes, and statistical significance.
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Develop critical thinking and decision-making skills: The session should help learners to apply statistical skills in making data-driven decisions, critically evaluating medical research studies and providing insightful conclusions and comments.