Note that this is intended as a “Causality for non-majors” type presentation. If you need a higher level of precision, and are able the follow the maths, you would be much better off reading Pearl’s book.
Even if you can follow the math, these sorts of things can be useful for orienting someone new to the field, or laying a conceptually simple map of the subject that can be elaborated on later. Sometimes, it’s easier to use a map to get a feel for where things are than it is to explore directly.
Last week, I gave a presentation at the Boston meetup, about using causal graphs to understand bias in the medical literature. Some of you requested the slides, so I have uploaded them at http://scholar.harvard.edu/files/huitfeldt/files/using_causal_graphs_to_understand_bias_in_the_medical_literature.pptx
Note that this is intended as a “Causality for non-majors” type presentation. If you need a higher level of precision, and are able the follow the maths, you would be much better off reading Pearl’s book.
(Edited to change file location)
Thanks for making these available.
Even if you can follow the math, these sorts of things can be useful for orienting someone new to the field, or laying a conceptually simple map of the subject that can be elaborated on later. Sometimes, it’s easier to use a map to get a feel for where things are than it is to explore directly.