May 1, 2024
3 minute read
Confounding is a critical concept in research that can lead to biased results if not properly addressed. It occurs when a third variable, known as a confounder, is associated with both the exposure and outcome of interest, potentially distorting the apparent relationship between them.
Understanding Confounding
5qof9l|
Find a path to becoming a Confounding. Learn more at:
OpenCourser.com/topic/5qof9l/confoundin
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Confounding.
Provides a thorough introduction to causal inference, covering the fundamental principles and methods for identifying and addressing confounding in statistical analysis. It offers a conceptual framework and practical guidance for causal analysis, making it a valuable resource for researchers.
Focuses specifically on confounding in clinical trials. It provides practical guidance on identifying, assessing, and controlling for confounding factors, with a primary emphasis on methods such as randomization and matching.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/5qof9l/confoundin