Now showing items 1-2 of 2

    • Causal Inference and Matrix Completion with Correlated Incomplete Data 

      Sun, Zhaohan (University of Waterloo, 2023-01-19)
      Missing data problems are frequently encountered in biomedical research, social sciences, and environmental studies. When data are missing completely at random, a complete-case analysis may be the easiest approach. However, ...
    • Causal Inference with Covariate Balance Optimization 

      Xie, Yuying (University of Waterloo, 2018-12-04)
      Causal inference is a popular problem in biostatistics, economics, and health science studies. The goal of this thesis is to develop new methods for the estimation of causal effects using propensity scores or inverse ...

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