Causal Inference with Targeted Learning for Producing and Evaluating Real-World Evidence

Author:

Gruber Susan,Lee Hana,Phillips Rachael,van der Laan Mark

Publisher

Springer International Publishing

Reference50 articles.

1. van der Laan, M.J., Rose, S.: Targeted Learning: Causal Inference for Observational and Experimental Data, Springer (2011)

2. Gruber, S., Phillips, R.V., Lee, H., Ho, M., Concato, J., van der Laan, M.J.: Targeted learning: Towards a future informed by real-world evidence. Statistics in Biopharmaceutical Research, 2023 [in press]

3. Petersen M.L., van der Laan M.J.: Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation. Epidemiology, 25, 418 (2014) https://doi.org/10.1097/EDE.0000000000000078

4. FDA Guidance Document (2018): Framework for FDA’s Real-world Evidence Program, https://www.fda.gov/media/120060/download

5. FDA Guidance Document (2021): Real-World Data: Assessing Electronic Health Records and Medical Claims Data To Support Regulatory Decision-Making for Drug and Biological Products, https://www.fda.gov/regulatory-information/search-fda-guidance-documents/real-world-data-assessing-electronic-health-records-and-medical-claims-data-support-regulatory.

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