How do we know that smoking causes lung cancer? Does discrimination play a part in hiring decisions? Can we predict economic growth under a new tax policy?
These are all questions about causation, and as any statistician will know, correlation does not equal causation. It usually takes a randomised control trials (RCT) to make the case for this. However, observational data are more widely available and easier to acquire. Marloes Maathuis, professor of statistics at ETH Zurich who specialises in causal inference, discussed ways in which we might address causal questions using observational data during her Wednesday keynote session at the RSS conference.
from StatsLife - all the latest statistics news https://www.statslife.org.uk/news/3552-a-worthy-cause-estimating-causal-effects
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