A causal diagram is a graphical tool that enables the visualisation of causal relationships between variables in a causal model. A casual diagram allows you to summarise and communicate assumptions about the causal structure of a problem.
The [course_title] course teaches the theory of causal diagrams and illustrates its applications to causal inference. Then you will be studied a series of case studies that highlight the practical applications of causal diagrams to real-world questions from the health and social sciences.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
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Course Credit:Harvard University
Course Curriculum
Module : 01 | |||
Causal Diagrams | 00:02:00 | ||
Video Syllabus | 00:02:00 | ||
Association vs. Causation | 00:03:00 | ||
1. Estrogens and Uterine Cancer: The problem | 00:05:00 | ||
2. What is a DAG? | 00:05:00 | ||
Cause and Effect | 00:09:00 | ||
Confounding | 00:09:00 | ||
5. Selection Bias | 00:10:00 | ||
D-separation | 00:08:00 | ||
Estrogens and Uterine Cancer: The Explanation | 00:07:00 | ||
Module : 02 | |||
Folic Acid and Birth Defects: The Problem | 00:04:00 | ||
Definition of Confounding | 00:06:00 | ||
Confounders (Part I) | 00:09:00 | ||
Confounders (Part II) | 00:07:00 | ||
Confounders (Part III) | 00:07:00 | ||
Confounding Control | 00:10:00 | ||
Folic Acid and Birth Defects: The Explanation | 00:06:00 | ||
Smoking and Dementia: The Problem | 00:02:00 | ||
Definition of Structural Bias | 00:04:00 | ||
Studies with Outcome-based Selection | 00:07:00 | ||
Module : 03 | |||
Follow-up Studies (Part I) | 00:07:00 | ||
Follow-up Studies (Part II) | 00:06:00 | ||
Selection Bias Control | 00:07:00 | ||
Smoking and Dementia: The Explanation | 00:04:00 | ||
Hepatitis B Vaccine and Multiple Sclerosis: The Problem | 00:03:00 | ||
Definition of Measurement Bias | 00:05:00 | ||
Classification of Measurement Error | 00:07:00 | ||
Measurement Bias Control | 00:07:00 | ||
Hepatitis B Vaccine and Multiple Sclerosis: The Solution | 00:06:00 | ||
Naming the Bias | 00:05:00 | ||
Module : 04 | |||
Why Causal Inference is Hard | 00:03:00 | ||
Antiretroviral Therapy and Human Immunodeficiency Virus: The Problem | 00:03:00 | ||
Time-Varying Treatments | 00:06:00 | ||
Time Varying Confounding | 00:05:00 | ||
Treatment-Confounder Feedback | 00:04:00 | ||
Bias Conventional Methods | 00:06:00 | ||
Antiretroviral Therapy and Human Immunodeficiency Virus: The Explanation | 00:05:00 | ||
Jamie Robins Interview | 00:16:00 | ||
Part 1 | 00:05:00 | ||
Part 2 | 00:03:00 | ||
Part 3 | 00:06:00 | ||
Module : 05 | |||
Part 4 | 00:03:00 | ||
Part 1 | 00:06:00 | ||
Part 2 | 00:05:00 | ||
Part 3 | 00:07:00 | ||
Part 4 | 00:11:00 | ||
Part 1 | 00:08:00 | ||
Part 2 | 00:06:00 | ||
Part 3 | 00:06:00 | ||
Part 4 | 00:09:00 | ||
Part 1 | 00:09:00 | ||
Part 2 | 00:09:00 | ||
Part 3 | 00:04:00 | ||
Part 4 | 00:01:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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