Estimand in Real-World Evidence Study: From Frameworks to Application

Author:

Wu Ying,Wang Hongwei,Chen Jie,Lee Hana

Publisher

Springer International Publishing

Reference54 articles.

1. ICH E9(R1) (2021): Statistical Principles for Clinical Trials: Addendum: Estimands and Sensitivity Analysis in Clinical Trials, https://www.ema.europa.eu/en/documents/scientific-guideline/ich-e9-r1-addendum-estimands-sensitivity-analysis-clinical-trials-guideline-statistical-principles_en.pdf

2. Chen, J., Scharfstein, D., Wang, H., Yu, B., Song, Y., He, W., Scott, J., Lin, X., Lee, H.: Estimands in Real-World Evidence Studies. (Submitted 2022).

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

4. Neyman, J.: On the Application of Probability Theory to Agricultural Experiments: Essay on Principles, Section 9. Translated in Statistical Science. 5, 465–480 (1923).

5. Rubin, D.: Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology. 56, 688–701 (1974).

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