Browsing by Department "Biostatistics and Bioinformatics Doctor of Philosophy"
Now showing items 1-10 of 10
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Assessing Interchangeability among Raters with Continuous Outcomes in Agreement Studies
(2020)In various medical settings, new raters are available to take measurements for evaluations of medical conditions. One may want to use new and existing raters simultaneously or replace the existing raters with the new one ... -
Design and Monitoring of Clinical Trials with Clustered Time-to-Event Endpoint
(2020)Many clinical trials are involved with clustered data that consists of groups (called clusters) of nested subjects (called subunits). Observations from subunits within each cluster tend to be positively correlated due to ... -
Developing Quantitative Models in Analyzing High-throughput Sequencing Data
(2021)Diverse functional genomics assays have been developed and helped to investigate complex gene regulations in various biological conditions. For example, RNA-seq has been used to capture gene expressions in diverse human ... -
Extending Probabilistic Record Linkage
(2020)Probabilistic record linkage is the task of combining multiple data sources for statistical analysis by identifying records pertaining to the same individual in different databases. The need to perform probabilistic record ... -
Improving Clinical Prediction Models with Statistical Representation Learning
(2021)This dissertation studies novel statistical machine learning approaches for healthcare risk prediction applications in the presence of challenging scenarios, such as rare events, noisy observations, data imbalance, missingness ... -
Marginal Methods for the Design and Analysis of Cluster Randomized Trials and Related Studies
(2022)Cluster randomized trials (CRTs) are used to study the effectiveness of complex or community-level interventions across a diverse range of contexts. These contexts present a range of logistical and statistical challenges ... -
Multiple Testing Embedded in an Aggregation Tree With Applications to Omics Data
(2020)In my dissertation, I have developed computational methods for high dimensional inference, motivated by the analysis of omics data. This dissertation is divided into two parts. The first part of this dissertation is motivated ... -
Multiple Testing for Data with Ancillary Information
(2022)In my dissertation, I develop three powerful hierarchical multiple testing methods by accounting for ancillary information of data. In my first project, we develop a multiple testing framework named Distance Assisted Recursive ... -
Propensity Score Methods For Causal Subgroup Analysis
(2022)Subgroup analyses are frequently conducted in comparative effectiveness research and randomized clinical trials to assess evidence of heterogeneous treatment effect across patient subpopulations. Though widely used in medical ... -
Topics and Applications of Weighting Methods in Case-Control and Observational Studies
(2019)Weighting methods have been widely used in statistics and related applications. For example, the inverse probability weighting is a standard approach to correct for survey non-response. The case-control design, frequently ...
