Defenses

Congratulations to our PhD and Master’s students on their successful defenses and presentations!

PhD Thesis Defenses

Date	Name	Thesis Title
14/06/2021	Kuan Liu	Bayesian Causal Inference with Longitudinal Data [Link]
17/07/2020	Armend Lokku	Summary Measures for Quantifying the Extent of Visit Irregularity in Longitudinal Data [Link]
20/03/2020	Zihang Lu	Bayesian Growth Mixture Model for Clustering Longitudinal Data [Link]
18/03/2020	Mohsen Soltanifar	Stop Signal Reaction Times: New Estimations with Longitudinal, Bayesian and Time Series based Methods [Link]
27/08/2019	Jingxiong Xu	Bayes Factor Approaches for Region-Based Analysis of Rare Variants from Next Generation Sequencing Studies [Link]
24/07/2019	Katherine Daignault	Causal Inference Methodology for Comparisons of Hospital Quality of Care [Link]
13/06/2019	Osvaldo Espin	Advances in Incomplete Data Methods for Statistical Genetics [Link]
09/08/2018	Tim Guimond	A Nonparametric Bayesian Approach to Causal Modelling [Link]

PhD Thesis Protocol Presentations

Date	Name	Thesis Title
22/04/2021	Yu-Chung (Jerry) Lin	Model Selection Through Resampling Based Methods
15/04/2021	Changchang Xu	Improving Mixture Cure Modelling of Multiple Molecular Factors in Cancer Prognosis
01/04/2021	Rose Garrett	Leveraging recommended visit intervals in electronic health records to analyze irregularly observed longitudinal data
18/03/2021	Pai-Shan Cheng	Methodological Advances in Network Meta-Analysis for Personalization of Osteoarthritis Care Using Large-Scale Randomized Evidence
11/03/2021	Thai-Son Tang	Causal inference methods for functional dose-volume histogram (DVH) data in the context of radiotherapy treatment planning
11/02/2021	Leif Erik Lovblom	Modelling Multiple Correlated End-organ Disease Trajectories in the 30-year Follow-up of the Diabetes Control and Complications Trial
22/10/2020	Kaviul Khan	Identifying Important Inputs for Black Box Machine Learning Methods
23/07/2020	Sumeet Kalia	Causal Inference Using Electronic Health Records in Primary Care
10/07/2020	Derek Latremouille	Distance Concentration Phenomena in High-Dimensional Statistics and Machine Learning
28/05/2020	Christopher Meaney	Characterizing Primary HealthCare using Clinical Text Data and Unsupervised Machine Learning
03/10/2019	Mehdi Rostami	Neural Networks in Causal Inference
29/11/2018	Bo Chen	Causal variance decompositions for evaluating health care provider performance
13/09/2018	Sangook Kim	Quantile Regression in Genetic Analysis
10/09/2018	Zihang Lu	Bayesian Imputation and Variable Selection in Model-based Clustering of Longitudinal Data

Master’s Thesis Defenses

Date	Name	Thesis Title
07/12/2020	Yixing (Estella) Dong	Continuous-time Marginal Structural Models for Adverse Drug Effects in Pharmacoepidemiology [Link]
19/08/2020	Yuan Bian	Hypothesis Testing in Joint Models for Longitudinal and Time-to-event outcomes [Link]
06/09/2019	Mengdan Xu	Comparison of methods for longitudinal analysis of quantitative traits in genome-wide association studies [Link]
05/09/2019	Michela Panarella	Extending Rare Event Association Tests in Affected Siblings to Account for Background Genetic Risk [Link]
30/07/2019	Jiahui Zhang	Stratify Colorectal Cancer Patients using Longitudinal QoL Measures and Explore Overall Survival [Link]
16/05/2019	Fan Gao	Novel Classification Method Development for Microbiome Data [Link]
11/09/2018	Myrtha Reyna-Vargas	Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-Making with an Application to developing an ‘Urban Greenness Index’ [Link]
13/08/2018	Thai-Son Tang	Comparing Hospital Performance with Competing Risk Quality Indicators through Inverse Probability Weighting and the Fine & Gray Model [Link]
07/08/2018	Qianqian Zhu	Cluster Analysis on Longitudinal Cognitive Function Trajectories: A Poisson Mixture Model Approach [Link]
24/07/2018	Ting Zhang	Beyond the traditional simulation design for evaluating type 1 error: from 'theoretical' to 'empirical' null [Link]
14/12/2017	Anna Theresa Santiago	In Silico Comparative Evaluation of Classical and Robust Dimension Reduction for Psychological Assessment [Link]