Now showing items 1-5 of 5

    • Causal Inference with Measurement Error 

      Shu, Di (University of Waterloo, 2018-05-04)
      Causal inference methods have been widely used in biomedical sciences and social sciences, among many others. With different assumptions, various methods have been proposed to conduct causal inference with interpretable ...
    • Correlated Data Analysis with Copula Models or Bayesian Nonparametric Methods 

      Zhuang, Haoxin (University of Waterloo, 2021-01-20)
      Different types of correlated data arise commonly in many studies and present considerable challenges in modeling and characterizing complex dependence structures. This thesis considers statistical issues in analyzing such ...
    • Inference Methods for Noisy Correlated Responses with Measurement Error 

      Zhang, Qihuang (University of Waterloo, 2020-09-25)
      Studying complex relationships between correlated responses and the associated covariates has attracted much research interest. Numerous approaches have been developed to model correlated responses. However, most available ...
    • Matrix-Variate Regression with Measurement Error 

      Fang, Junhan (University of Waterloo, 2020-09-28)
      Matrix-variate regression models are useful for featuring data with a matrix structure, such as brain imaging data. However, those methods do not apply to data with measurement error or misclassification. While mismeasurement ...
    • Survival Analysis of Complex Featured Data with Measurement Error 

      Chen, Li-Pang (University of Waterloo, 2019-08-22)
      Survival analysis plays an important role in many fields, such as cancer research, clinical trials, epidemiological studies, actuarial science, and so on. A large body of methods on analyzing survival data have been ...


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