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Examples of Applying Causal-Inference Roadmap to Real-World Studies

In: Real-World Evidence in Medical Product Development

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  • Yixin Fang

    (AbbVie, Data and Statistical Sciences)

Abstract

The causal-inference roadmap described in Chapter 8 consists of six key steps to derive real-world evidence (RWE) from the analysis of real-world data (RWD) generated from real-world studies. In this chapter, we demonstrate the application of the roadmap through examples. These examples are generated using a subset of the NHEFS (National Health and Nutrition Examination Survey Data I Epidemiologic Follow-up Study), combined with simulated outcomes, missing data, and intercurrent events. This demonstration shows that the causal-inference roadmap is useful in analyzing real-world data with confounders, missing data, and intercurrent events.

Suggested Citation

  • Yixin Fang, 2023. "Examples of Applying Causal-Inference Roadmap to Real-World Studies," Springer Books, in: Weili He & Yixin Fang & Hongwei Wang (ed.), Real-World Evidence in Medical Product Development, pages 341-364, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-26328-6_18
    DOI: 10.1007/978-3-031-26328-6_18
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