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www.statslab.cam.ac.uk/~qz280/tag/sensitivity-analysis/index.xml
www.statslab.cam.ac.uk/~qz280/tag/sensitivity-analysis/index.xml3 Jun 2024: ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable https://www.statslab.cam.ac.uk/qz280/publication/iv-model/ Wed, 19 Feb 2020 -
ivmodel: An R package for inference and sensitivity analysis of…
https://www.statslab.cam.ac.uk/~qz280/publication/iv-model/3 Jun 2024: Search. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. -
www.statslab.cam.ac.uk/~qz280/author/hyunseung-kang/index.xml
www.statslab.cam.ac.uk/~qz280/author/hyunseung-kang/index.xml3 Jun 2024: ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable https://www.statslab.cam.ac.uk/qz280/publication/iv-model/ Wed, 19 Feb 2020 -
www.statslab.cam.ac.uk/~qz280/author/yang-jiang/index.xml
www.statslab.cam.ac.uk/~qz280/author/yang-jiang/index.xml3 Jun 2024: jiang/ ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable https://www.statslab.cam.ac.uk/qz280/publication/iv-model/ Wed, 19 Feb -
www.statslab.cam.ac.uk/~qz280/publication/index.xml
www.statslab.cam.ac.uk/~qz280/publication/index.xml3 Jun 2024: package for inference and sensitivity analysis of instrumental variables models with one endogenous variable https://www.statslab.cam.ac.uk/qz280/publication/iv-model/ Wed, 19 Feb 2020 00:00:00 -
www.statslab.cam.ac.uk/~qz280/author/dylan-small/index.xml
www.statslab.cam.ac.uk/~qz280/author/dylan-small/index.xml3 Jun 2024: variables models with one endogenous variable https://www.statslab.cam.ac.uk/qz280/publication/iv-model/ Wed, 19 Feb 2020 00:00:00 0000 -
www.statslab.cam.ac.uk/~qz280/tag/instrumental-variables/index.xml
www.statslab.cam.ac.uk/~qz280/tag/instrumental-variables/index.xml3 Jun 2024: www.statslab.cam.ac.uk/qz280/publication/mr-grapple/ ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable -
Publications | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/publication/3 Jun 2024: ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. -
www.statslab.cam.ac.uk/~qz280/author/qingyuan-zhao/index.xml
www.statslab.cam.ac.uk/~qz280/author/qingyuan-zhao/index.xml3 Jun 2024: R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable https://www.statslab.cam.ac.uk/qz280/publication/iv-model/ Wed, 19 Feb 2020 -
Yang Jiang | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/yang-jiang/3 Jun 2024: ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. -
www.statslab.cam.ac.uk/~qz280/index.xml
www.statslab.cam.ac.uk/~qz280/index.xml3 Jun 2024: Qingyuan Zhao https://www.statslab.cam.ac.uk/qz280/ Qingyuan Zhao Source Themes Academic (https://sourcethemes.com/academic/) en-us 2024 Tue, 14 May 2024 20:43:39 0100 -
Dylan Small | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/dylan-small/3 Jun 2024: Search. Dylan Small. Latest. 2024. Powered by the Academic theme forCite. -
Qingyuan Zhao | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/qingyuan-zhao/3 Jun 2024: Search. Qingyuan Zhao. University Associate Professor in Statistics. I am a University Associate Professor of Statistics in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at University of Cambridge, a -
Hyunseung Kang | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/author/hyunseung-kang/3 Jun 2024: Search. Hyunseung Kang. Latest. 2024. Powered by the Academic theme forCite. -
www.statslab.cam.ac.uk/~qz280/tag/causal-inference/index.xml
www.statslab.cam.ac.uk/~qz280/tag/causal-inference/index.xml3 Jun 2024: Causal-Inference | Qingyuan Zhao https://www.statslab.cam.ac.uk/qz280/tag/causal-inference/ Causal-Inference Source Themes Academic (https://sourcethemes.com/academic/) en-us 2024 Tue, 14 May 2024 20:43:39 0100 -
IV & MR (project page) | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/project/iv-mr/3 Jun 2024: Search. IV & MR (project page). 2019-07-18. Related. Publications. Causal mediation analysis for time-varying heritable risk factors with Mendelian Randomization. A new Bayesian full-information method for life-course Mendelian randomization. Zixuan -
Sensitivity Analysis | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/tag/sensitivity-analysis/3 Jun 2024: Search. Sensitivity Analysis. A new approach to sensitivity analysis in linear SEMs using stochastic optimization and the $R2$-calculus. Sensitivity analysis is widely recognized as a critical step in an observational study but is seldom found in -
Instrumental-Variables | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/tag/instrumental-variables/3 Jun 2024: A large-scale experiment was done to understand …. ivmodel: An R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable. -
SISCER Module 12 Lecture 5: Instrumental variables
www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L5.pdf3 Jun 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 -
Mendelian randomization
www.statslab.cam.ac.uk/~qz280/talk/mr-tutorial/slides.pdf3 Jun 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.pdf3 Jun 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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