Causal inference, probability theory, and graphical insights
Author:
Affiliation:
1. Biometry Research Group; National Cancer Institute; Bethesda MD 20892 U.S.A.
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5828/fullpdf
Reference37 articles.
1. Why data bases should not replace randomized clinical trials;Byar;Biometrics,1980
2. Causality
3. Quantifying biases in causal models: classical confounding vs collider-stratification bias;Greenland;Epidemiology,2003
4. Letter to the editor;Shrier;Statistics in Medicine,2008
5. Author's reply (to Ian Shrier's letter to the editor);Rubin;Statistics in Medicine,2008
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