Garcia de Albeniz Martinez X. Causal inference methods for real world evidence: a case study of a target trial emulation. Presented at the 3rd Annual Real World Data, Life Science Analytics and Market Access Virtual Summit; October 23, 2020.

The scientific contributions of RWD science can be organized into three classes of tasks: description, prediction, and causal inference. Causal inference is of interest in RWE studies for safety and effectiveness. This talk will explain and apply a methodological framework for causal inference using RWD.

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