Now showing items 1-4 of 4

    • 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 ...
    • Causal Inference with Recurrent Data via Propensity Score Methods 

      Liang, Haodi (University of Waterloo, 2019-01-07)
      Propensity score methods are increasingly being used to reduce estimation bias of treatment effects for observational studies. Previous research has shown that propensity score methods consistently estimate the marginal ...
    • Event History Analysis in Longitudinal Cohort Studies with Intermittent Inspection Times 

      Zhu, Yayuan (University of Waterloo, 2016-01-20)
      Event history studies based on disease clinic data often face several complications. Specifically, patients visit the clinic irregularly, and the intermittent inspection times depend on the history of disease-related ...
    • 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 ...


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