Confounding and Effect Modification
Description
Confounding and effect modification are two important concepts in statistics and epidemiology, especially when interpreting relationships between variables in observational studies.
Purpose
Confounding and effect modification help researchers understand the relationships between variables and the outcomes of interest in a study. While both confounding and effect modification involve the influence of third variables in epidemiological studies, they represent distinct phenomena that require different approaches for analysis and interpretation. Understanding these concepts is crucial for drawing valid conclusions from research studies.
$195 (Fee covers training materials)
July 20 and 24, 2026 10:00 am - 12:00 pm MT
Expected Learning Outcomes
By the end of this training, you will be able to
identify and describe cofounders;
explain the concepts of adjustment, stratification, confounding, and effect modification; and
identify the statistical strategies (with their strengths, and weaknesses) for dealing with confounding and effect modification.
Target Learners
This training program is designed for individuals or groups of people who work in clinical settings, academia, pharmaceutical industries, Government, corporations, nonprofit organizations, and organizations that work on biological data.
Learning Approach
Programs are delivered through live online interactive sessions with seasoned instructors having vast experiences in academia. Contents are well structured and manageable with self-paced learning activities and exercises. Our approach provides learners opportunities for hands-on practice, asking questions, investigating problems, and applying their knowledge to solve complex scenarios or real-world problems. In the end, learners develop deeper understanding, critical thinking, and problem-solving skills.
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