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SISCER Module 12 Lecture 5: Instrumental variables
www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L5.pdf5 Apr 2024: I The exposure variable Xi is called confounded or endogenous if it is correlatedwith Ui (or equivalently, if Vi is correlated with Ui ). 9 / 15. Why IV and basics Examples of -
Curriculum Vitae
www.statslab.cam.ac.uk/~qz280/files/cv.pdf20 Mar 2024: S. Small, “ivmodel: An R package for inference andsensitivity analysis of instrumental variables models with one endogenous variable,” Ob-servational Studies, vol. -
Mendelian randomization
www.statslab.cam.ac.uk/~qz280/talk/mr-tutorial/slides.pdf5 Apr 2024: Exogeneity: Zi (Ui, Vi );3. Exclusion restriction: α = 0. I The exposure variable Xi is called confounded or endogenous if it iscorrelated with Ui (or equivalently, if Vi is correlated with -
Two-Sample Instrumental Variable Analysis: Challenges and Some…
www.statslab.cam.ac.uk/~qz280/publication/two-sample-iv/slides.pdf5 Apr 2024: The two-sample instrumental variable problem. Suppose only Za, xa, Zb, and yb are observed (in other wordsya and xb are not observed).If x is endogenous, what can we learn
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