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121 - 140 of 242 search results for download |u:www.statslab.cam.ac.uk

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  2. George Davey Smith | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/george-davey-smith/
    3 Jun 2024: Search. George Davey Smith. Latest. 2024. Powered by the Academic theme forCite.

  3. M. Maria Glymour | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/m.-maria-glymour/
    3 Jun 2024: Search. M. Maria Glymour. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

  4. Machine Learning | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/machine-learning/
    3 Jun 2024: Search. Machine Learning. Comment: Will competition-winning methods for causal inference also succeed in practice?. This is an invited commentary for Statistical Science on the causal inference data competition in ACIC 2016. Causal interpretations

  5. Factor Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/factor-analysis/
    3 Jun 2024: Search. Factor Analysis. Performance evaluation with latent factors. We use the Confounder Adjusted Testing and Estimating (CATE) proposed in our previous paper to estimate the abnormal return (aka 'alpha') of U.S. equity mutual funds. When funds

  6. Sensitivity analysis for observational studies: past, present, and…

    https://www.statslab.cam.ac.uk/~qz280/talk/uea-2024/
    3 Jun 2024: Search. Sensitivity analysis for observational studies: past, present, and future. Date. 2024-02-13 2:00 PM — 3:00 PM. Location. University of East Anglia. 2024. Powered by the Academic theme forCite.

  7. Confounder selection via iterative graph expansion | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/lse-2024/
    3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2024-02-08 2:00 PM — 3:00 PM. Event. Joint Econometrics and Statistics Seinar. Location. London School of Economics and Political Science (LSE). 2024. Powered by the Academic theme

  8. BETS: The dangers of selection bias in early analyses of the…

    https://www.statslab.cam.ac.uk/~qz280/talk/osu-2020/
    3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-09-24. Event. OSU Statistics Seminar. Location. Department of Statistics, Ohio State University. 2024. Powered by the Academic

  9. Computation | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/computation/
    3 Jun 2024: Search. Computation. Estimation and prediction in sparse and unbalanced tables. When there is a multi-way table where each dimension has large number of levels, it is computationally intensive to fit even the standard mixed effects models. We

  10. BETS: The dangers of selection bias in early analyses of the…

    https://www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020/
    3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-05-05. Event. Yale Biostatistics Seminar. Location. Department of Biostatistics, Yale University. 2024. Powered by the Academic

  11. Hera Y He | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/hera-y-he/
    3 Jun 2024: Search. Hera Y He. Latest. 2024. Powered by the Academic theme forCite.

  12. Jean Morrison | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/jean-morrison/
    3 Jun 2024: Search. Jean Morrison. Latest. Mendelian randomization. 2024. Powered by the Academic theme forCite.

  13. Covariate balancing propensity score by tailored loss functions |…

    https://www.statslab.cam.ac.uk/~qz280/publication/balancing-loss/
    3 Jun 2024: Search. Covariate balancing propensity score by tailored loss functions. January 2016Abstract. This paper extends the dual interpretation of entropy balancing to general situations and proposes a tailored loss function. Minimizing this loss function

  14. Alec Christie | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/alec-christie/
    3 Jun 2024: Search. Alec Christie. Latest. Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. 2024. Powered by the Academic theme forCite.

  15. Jack Bowden | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/jack-bowden/
    3 Jun 2024: Search. Jack Bowden. Latest. 2024. Powered by the Academic theme forCite.

  16. Debbie Lawlor | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/debbie-lawlor/
    3 Jun 2024: Search. Debbie Lawlor. Latest. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. 2024. Powered by the Academic theme forCite.

  17. John Thompson | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/john-thompson/
    3 Jun 2024: Search. John Thompson. Latest. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. 2024. Powered by the Academic theme forCite.

  18. Nuala Sheehan | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/nuala-sheehan/
    3 Jun 2024: Search. Nuala Sheehan. Latest. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. 2024. Powered by the Academic theme forCite.

  19. Art B Owen | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/author/art-b-owen/
    3 Jun 2024: Search. Art B Owen. Latest. Permutation $p$-value approximation via generalized Stolarsky invariance. 2024. Powered by the Academic theme forCite.

  20. Using sparsity to overcome unmeasured confounding | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/iscb-2020/
    3 Jun 2024: Search. Using sparsity to overcome unmeasured confounding. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another aspect—the

  21. Randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/randomization/
    3 Jun 2024: Search. Randomization. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. Discussion on (quasi-)randomization inference. The following is an email

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