An introduction to causal inference from observational data (postponed)
|NCRM, University of Southampton|
Professor Paul Clarke and Dr Spyros Samothrakis
Building 39, University of Southampton, Highfield, Southampton, Hants
View in Google Maps (SO17 1BJ)
THIS COURSE IS POSTPONED DUE TO THE CORONAVIRUS. NEW DATE TBC.
This one-day workshop will
The course covers:
By the end of the course participants will:
All quantitative researchers, academic and non-academic, with experience/knowledge of performing causal analysis with data from observational studies and of some of the challenges (e.g. adjusting for confounding bias/selection on observables, non-random selection, endogenous regressors). It should be suitable for junior researchers or senior researchers who wish to get a hands-on introduction to this topic.
Some prior knowledge of programming would be desirable but not essential. Experience with some statistical package should be sufficient to understand and run the exercises.
None required, but if you want to delve into the practical side of things, please do an online introductory python module to get some familiarity with the language.
See here for a list of tutorials:
Intermediate (some prior knowledge)
The fee per teaching day is:
Website and registration
Explanatory Research and Causal analysis, Explanatory Research and Causal Analysis , Machine Learning , Causal Inference , Observational Data
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