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A formalization of relationships between stochastically (randomly) related variables in the form of mathematical equations. DO NOT USE THIS TAG BY ITSELF: always include a more specific one.

40 votes
Accepted

Is there any theory or field of study that concerns itself with modeling causation rather th...

There are two main approaches to the New Causal Revolution. One is the graphical approach (as in, directed acyclic graphs), championed by Judea Pearl. The other is the potential outcomes framework, ch …
Adrian Keister's user avatar
2 votes
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How to investigate the effect of predictors that correlate using regression?

In a linear regression scenario, conditioning looks like simply including the variable in the model. … model is $Y=mX+nZ+b.$ This should get you started, I hope. …
Adrian Keister's user avatar
3 votes

How to analyse this set of variables using causal modelling

However, here's an option for you to try: model the same quantity at different times as essentially different variables. After all, you will have different values for them in your data. … Here's the model I would propose in your slightly simpler setting of just one precondition. The parentheses here show the value of that variable at that time. …
Adrian Keister's user avatar
5 votes

What does the phrase "adjusted by" mean?

There are multiple ways to do that: The first, valid in a regression setting, is simply to include the variable on right-hand side of the model. …
Adrian Keister's user avatar