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  2. Causal Inference with Observational Data: Common Designs and…

    https://www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/
    3 Jun 2024: Search. Causal Inference with Observational Data: Common Designs and Statistical Methods (2023). Course description. Observational studies are non-interventional empirical investigations of causal effects and are playing an increasingly vital role
  3. Statistical Modelling (Part II, Michaelmas 2022) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/
    3 Jun 2024: Search. Statistical Modelling (Part II, Michaelmas 2022). 2022-09-30. General information. This course consists of 16 lectures and 8 practical sessions. It complements the Part II Principles of Statistics, but takes a more applied perspective.
  4. Causal inference for heritable phenotypic risk factors using…

    https://www.statslab.cam.ac.uk/~qz280/publication/mr-grapple/
    3 Jun 2024: Search. Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan Small, Nancy Zhang. May 2020Abstract. We greatly improve the
  5. Confounder Selection | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/confounder-selection/
    3 Jun 2024: Search. Confounder Selection. We propose a systematic way to select confounders. Confounder selection: Objectives and approaches. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them.
  6. William Sutherland | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/william-sutherland/
    3 Jun 2024: Search. William Sutherland. Latest. Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. 2024. Powered by the Academic theme forCite.
  7. Murat A Erdogdu | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/murat-a-erdogdu/
    3 Jun 2024: Search. Murat A Erdogdu. Latest. SEISMIC: A self-exciting point process model for predicting tweet popularity. 2024. Powered by the Academic theme forCite.
  8. Comment on FDA draft guidance for industry FDA-2019-D-0934: Adjusting …

    https://www.statslab.cam.ac.uk/~qz280/publication/fda-comment-2021/
    3 Jun 2024: Search. Comment on FDA draft guidance for industry FDA-2019-D-0934: Adjusting for covariates in randomized clinical trials for drugs and biological products. Jun Shao, Ting Ye, Qingyuan Zhao. July 2021Abstract. This is a unsolicited commentary on
  9. Exploratory Data Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/exploratory-data-analysis/
    3 Jun 2024: Search. Exploratory Data Analysis. PathGPS: Discover shared genetic architecture using biobank data. The increasing availability and scale of Genome Wide Association Studies (GWAS) bring new horizons for understanding biological mechanisms. PathGPS
  10. Graphical diagnosis of confounding bias in instrumental variables…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-diagnosis/
    3 Jun 2024: Search. Graphical diagnosis of confounding bias in instrumental variables analysis. Qingyuan Zhao, Dylan Small. May 2018Abstract. This research letter proposes a new diagnostic plot for IV analysis, so large bias ratios (compared to OLS estimator)
  11. Improving the accuracy of two-sample summary data Mendelian…

    https://www.statslab.cam.ac.uk/~qz280/publication/beyond-nome/
    3 Jun 2024: Search. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Debbie Lawlor, Qingyuan Zhao, Nuala Sheehan, John Thompson, George Davey Smith.

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