Methods of discovering causal effects: Difference between revisions
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! Method/strategy !! Notes !! Example | ! Method/strategy !! Notes !! Example | ||
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| Try to deliberately control as many other variables as possible || <ref name="shalizi-identifying-causal-effects">http://www.stat.cmu.edu/~cshalizi/uADA/16/lectures/23.pdf</ref> || | | Try to deliberately control as many other variables as possible || <ref name="shalizi-identifying-causal-effects">Cosma Rohilla Shalizi. [http://www.stat.cmu.edu/~cshalizi/uADA/16/lectures/23.pdf "Identifying Causal Effects from Observations"]. April 7, 2016.</ref> || ? | ||
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| Randomized controlled trial || <ref name="shalizi-identifying-causal-effects" /> Michael Nielsen also talks about this in his tutorial || | | Randomized controlled trial || <ref name="shalizi-identifying-causal-effects" /> Michael Nielsen also talks about this in his tutorial || There are lots of examples of this. It would be good to explain a concrete one. For now, I'll just link to [https://en.wikipedia.org/wiki/Randomized_controlled_trial#In_social_science this section on Wikipedia]. | ||
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| The [[Do calculus|''do'' calculus]] || This allows us to infer causal effects just by observation. || | | The [[Do calculus|''do'' calculus]] || This allows us to infer causal effects just by observation (i.e. without conducting an experiment). I think this one breaks down into further strategies. Three of them are listed in p. 30 of <ref>Stephen L. Morgan; Christopher Winship. ''Counterfactual and Causal Inference: Methods and Principles for Social Research''. 2nd ed. Cambridge University Press. 2015.</ref> || | ||
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==See also== | |||
* [[Creation of causal graphs]] | |||
==References== | ==References== | ||
<references/> | <references/> | ||
[[Category:Causal inference]] | |||
Latest revision as of 00:25, 15 January 2019
Methods of discovering causal effects: basically, after observing or interacting with the environment, how can we discover what causes what? When are we justified to claim causal effects (not just correlation)?
| Method/strategy | Notes | Example |
|---|---|---|
| Try to deliberately control as many other variables as possible | [1] | ? |
| Randomized controlled trial | [1] Michael Nielsen also talks about this in his tutorial | There are lots of examples of this. It would be good to explain a concrete one. For now, I'll just link to this section on Wikipedia. |
| The do calculus | This allows us to infer causal effects just by observation (i.e. without conducting an experiment). I think this one breaks down into further strategies. Three of them are listed in p. 30 of [2] |
See also
References
- ↑ 1.0 1.1 Cosma Rohilla Shalizi. "Identifying Causal Effects from Observations". April 7, 2016.
- ↑ Stephen L. Morgan; Christopher Winship. Counterfactual and Causal Inference: Methods and Principles for Social Research. 2nd ed. Cambridge University Press. 2015.