Li Yin Karolinska Institute, Sweden
Research Description:
CAUSAL INFERENCE FROM COMPLEX LONGITUDINAL DATA: CHALLENGE AND
BREAKTHROUGH
In many medical practices, one treatment is hardly a done deal to
influence a certain outcome, for example, the survival of a patient. Instead,
treatments are assigned in a sequence to influence the outcome. Statistically,
we should infer the causal effect from a treatment sequence rather than a
single treatment.
