8/3/2019
Basics of Causal Diagrams: Draw Your Assumptions Before Your Conclusions (Harvard University) - Edukite
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Basics of Causal Diagrams: Draw Your Assumptions Before Your Conclusions (Harvard University) ( 9 REVIEWS )
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A causal diagram is a graphical tool that enables the visualisation of causal relationships between variables in a causal …
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1 YEAR LEVEL 2 COURSE BADGE COURSE CERTIFICATE
56
NUMBER OF UNITS NUMBER OF QUIZZES
0
5 HOURS, 25 MINUTES
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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 Basics of Causal Diagrams: Draw Your Assumptions Before Your Conclusions (Harvard University) 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.
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Basics of Causal Diagrams: Draw Your Assumptions Before Your Conclusions (Harvard University) - Edukite
Add the certi cate to your CV or resume and brighten up your career Show it to prove your success 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
De nition of Confounding
00:06:00
Confounders (Part I)
00:09:00
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Basics of Causal Diagrams: Draw Your Assumptions Before Your Conclusions (Harvard University) - Edukite
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
De nition 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
De nition of Measurement Bias
00:05:00
Classi cation 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
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Basics of Causal Diagrams: Draw Your Assumptions Before Your Conclusions (Harvard University) - Edukite
Module : 04
Why Causal Inference is Hard
00:03:00
Antiretroviral Therapy and Human Immunode ciency 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 Immunode ciency 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
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Basics of Causal Diagrams: Draw Your Assumptions Before Your Conclusions (Harvard University) - Edukite
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
Certi cation
00:00:00
COURSE REVIEWS
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