Now showing items 1-4 of 4

    • 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 ...
    • Marginal Causal Sub-Group Analysis with Incomplete Covariate Data 

      Cuerden, Meaghan (University of Waterloo, 2019-01-11)
      Incomplete data arises frequently in health research studies designed to investigate the causal relationship between a treatment or exposure, and a response of interest. Statistical methods for conditional causal effect ...
    • Mortality Prediction using Statistical Learning Approaches 

      Meng, Yechao (University of Waterloo, 2022-11-21)
      Longevity risk, as one of the major risks faced by insurers, has triggered a heated stream of research in mortality modeling among actuaries for effective design/pricing/risk management of insurance products. The idea of ...
    • Topics in Study Design and Analysis Involving Incomplete Data 

      Yang, Ce (University of Waterloo, 2021-07-27)
      Incomplete data is a common occurrence in statistics with various types and mechanisms such that each can have a significant effect on statistical analysis and inference. This thesis tackles several statistical issues in ...


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