HU530226
Reading Course
WiSe 23/24: Advanced topics in causal inference and experimental design
Macartan Humphreys
Information for students
Die Anmeldung erfolgt über Agnes: https://agnes.hu-berlin.de/lupo/rds?state=verpublish&status=init&vmfile=no&publishid=212585&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung
Comments
The course addresses advanced topics in causal inference and experimental design. It is a hands on course in which theoretical results are introduced through lecture, demonstrated in practice, and worked on in groups. Topics likely include sampling and randomization schemes, including multilevel trials, restricted randomization, and patient preference trials; Bayesian approaches to causal inference, exact inference: sharp nulls for complex hypotheses, inverting hypothesis tests, Mediation analysis, Multiple comparisons, Open science workflows. close
Suggested reading
All books and articles are open access. Key resources including open access books are available at https://github.com/matteocourthoud/awesome-causal-inference/